There are more good alignment ideas than there are people to run them. Top researchers at Anthropic, DeepMind, OpenAI, and the major alignment organizations all have promising directions they can’t get to, ideas that could be more impactful than what’s currently getting funded or what their organizations are set up to try. The window for alignment research is short, and we think the field’s real bottleneck is capacity, not ideas. We’ve built something to fix that.

AE Studio is a 160-person, fully bootstrapped ML consultancy. We’ve spent over a decade building and shipping AI systems for clients including Samsung, Berkshire Hathaway, Goodfire AI, and RAND Corporation. Without outside investors we are able to choose where the money goes, and we put it into alignment research through the AI Alignment Foundation, a nonprofit we founded to scale this work (also backed by other philanthropies). The research team is 25 people and growing.

Over years of client work, we got really good at one thing: taking someone with a vision (an external visionary) and no capacity to build it, putting a strong technical team around them, and shipping fast. Our alignment research is that same approach pointed at the field’s best ideas instead of products. The visionary doesn’t hire anyone, manage anyone, or babysit anyone. They plug in, have a conversation once a week, and our team runs the work.

We’re running a DARPA seedling on alignment and control, our policy team engages directly with the government on AI alignment, and our work has been featured many times in the Wall Street Journal. We collaborate with researchers at Anthropic, Princeton University, University College London, Redwood Research, and MATS. The work gets published at major ML conferences and workshops.

ABOUT THE ROLE

You will be part of the alignment research team, working on projects selected for their high upside potential and under-resourced status. Research that matters most in a world where AI systems are powerful enough to recursively self-improve with little human oversight.

Projects will evolve as we bring on new collaborators and shift focus to what’s most impactful. What stays constant is that you’re doing real alignment research with real autonomy, in directions most organizations aren’t set up to pursue.

ABOUT YOU

• Experience with ML research, alignment research, or both
• You care about AI alignment and believe meaningful progress on the problem is possible
• Strong Python skills and experience building, training, or evaluating deep learning models (NLP, vision, or LLMs)
• Experience calling AI model APIs via REST or client libraries
• You can break complex problems into concrete experiments and execute on them, independently or with a team
• Eager to use AI tools and automate everything you can
• Comfortable in a fast-paced, startup-like environment
• Clear communicator in English who can explain technical work to non-technical audiences

BONUS POINTS FOR

• Self-directed research or data science projects (show us what you’ve built, especially if it increases human agency)
• Software engineering background and best practices
• Agile experience (Kanban, Scrum, XP)
• Experience managing clients and client relationships
• Experience in startups
• Being in LA to work from our office

BENEFITS Remote-first with flexible schedules. Health insurance, free lunches at the office, weekly knowledge-sharing talks, and an annual team retreat. Regular performance-based raises and a diversified employee equity program.

COMPENSATION

The salary range is $180k to $240k per year for US-based candidates. Not in the range? Apply anyway. We’re growing fast and may have more senior roles opening soon.

We’re working towards a flourishing future for all conscious beings. If that’s what you want to work on, we want to talk to you.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

Join NICE’s Research Group and shape the next generation of AI for enterprise CX. As a Lead Data Science Researcher, you will own highimpact research initiatives across NLP, Vision, and multimodal domains, with a strong emphasis on large language models (LLMs) and agenticAI systems.

You will combine deep handson technical work with leadership—setting direction, mentoring peers, and translating breakthrough ideas into reliable, productiongrade capabilities for NICE’s contact center solutions.

You will collaborate closely with researchers, engineers, product leaders, and subjectmatter experts to define strategy, validate research hypotheses, and lead the transition from experimental agentic systems to reliable, realworld deployments.

How will you make an impact?

Lead end‑to‑end research initiatives across NLP, Vision, and multimodal modeling, with a strong focus on LLM‑based and agentic‑AI systems.

Architect, prototype, and evaluate singleagent and multiagent systems, including planning, tool use, memory, and orchestration.

Establish and own best practices for safe, controllable, and scalable AI agents, including evaluation frameworks, guardrails, fallback strategies, and observability.

Act as a technical authority on LLM and agentic systems, guiding architectural decisions, evaluation strategies, and engineering tradeoffs.

Define rigorous offline and online evaluation strategies (KPIs, A/B testing, cost/performance tradeoffs) grounded in realworld constraints.

Deliver select research components at production quality and partner closely with productization teams to harden and deploy endtoend solutions.

Mentor researchers and data scientists, raising the bar for technical rigor, engineering quality, and applied research impact.

Communicate complex findings and risks clearly to crossfunctional stakeholders and leadership.

Stay at the forefront of AI research, contributing to the team’s agentic‑AI roadmap and long‑term research vision and help set teamwide standards and guidelines.

Have you got what it takes?

Skills-first profile with proven, hands‑on impact in applied AI. (Formal degrees welcome but not required.)

Strong Demonstrated experience building production‑grade AI agents that perform multi‑step reasoning and tool‑based actions (e.g., tool invocation, planning, memory).

Mandatory: Experience with agent frameworks/orchestration layers or custom agent runtimes (e.g., LangGraph/LangChain, semantic routers, workflow engines, or in‑house frameworks).

Strong practical expertise with LLMs (AWS Bedrock or similar platforms), including evaluation, prompt/program design, and safety patterns.

Strategic problem-solving leadership: You proactively shape ambiguous business questions into well-defined  analytical goals, challenge underlying assumptions, and ensure the work is focused on the problems with the highest impact.

Bar‑setting analytical rigor—applied pragmatically: You anticipate bias, confounders, and risks of misinterpretation early, apply the right level of methodological rigor for the decision at hand, and help others distinguish between “theoretically perfect” and “fit for purpose.”

Efficient, scalable thinking: You balance depth with speed, favor simple and robust solutions over unnecessary complexity, turn one‑off analyses into reusable insights, and help the organization avoid reinventing or over‑engineering solutions.

Track record of translating research into reliable systems in partnership with engineering/product teams.

Proficiency in Python and modern ML/DL libraries; strong AI engineering skills (clean architecture, testing, CI/CD, observability), as well as familiarity with HuggingFace or similar model ecosystems and open‑source tooling.

Experience applying GenAI to DS workflows (LLM‑as‑a‑judge, synthetic data generation, weak labeling, automated eval).

Excellent communication and mentoring skills; fluency in English.

You will have an advantage if you also have:

Experience with multi‑agent systems, reinforcement learning, or policy optimization for agent control.

Expertise in multimodal or vision‑based deep learning.

Operating experience with cloud ML at scale (AWS or equivalent).

Leading/mentoring globally distributed teams.

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

#LI-Hybrid

Requisition ID: 10398

Reporting into: Group Lead, Data Science, CX

Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

There are more good alignment ideas than there are people to run them. Top researchers at Anthropic, DeepMind, OpenAI, and the major alignment organizations all have promising directions they can’t get to, ideas that could be more impactful than what’s currently getting funded or what their organizations are set up to try. The window for alignment research is short, and we think the field’s real bottleneck is capacity, not ideas. We’ve built something to fix that.

AE Studio is a 160-person, fully bootstrapped ML consultancy. We’ve spent over a decade building and shipping AI systems for clients including Samsung, Berkshire Hathaway, Goodfire AI, and RAND Corporation. Without outside investors we are able to choose where the money goes, and we put it into alignment research through the AI Alignment Foundation, a nonprofit we founded to scale this work (also backed by other philanthropies). The research team is 25 people and growing.

Over years of client work, we got really good at one thing: taking someone with a vision (an external visionary) and no capacity to build it, putting a strong technical team around them, and shipping fast. Our alignment research is that same approach pointed at the field’s best ideas instead of products. The visionary doesn’t hire anyone, manage anyone, or babysit anyone. They plug in, have a conversation once a week, and our team runs the work.

We’re running a DARPA seedling on alignment and control, our policy team engages directly with the government on AI alignment, and our work has been featured many times in the Wall Street Journal. We collaborate with researchers at Anthropic, Princeton University, University College London, Redwood Research, and MATS. The work gets published at major ML conferences and workshops.

ABOUT THE ROLE

You will be part of the alignment research team, working on projects selected for their high upside potential and under-resourced status. Research that matters most in a world where AI systems are powerful enough to recursively self-improve with little human oversight.

Projects will evolve as we bring on new collaborators and shift focus to what’s most impactful. What stays constant is that you’re doing real alignment research with real autonomy, in directions most organizations aren’t set up to pursue.

ABOUT YOU

• Experience with ML research, alignment research, or both
• You care about AI alignment and believe meaningful progress on the problem is possible
• Strong Python skills and experience building, training, or evaluating deep learning models (NLP, vision, or LLMs)
• Experience calling AI model APIs via REST or client libraries
• You can break complex problems into concrete experiments and execute on them, independently or with a team
• Eager to use AI tools and automate everything you can
• Comfortable in a fast-paced, startup-like environment
• Clear communicator in English who can explain technical work to non-technical audiences

BONUS POINTS FOR

• Self-directed research or data science projects (show us what you’ve built, especially if it increases human agency)
• Software engineering background and best practices
• Agile experience (Kanban, Scrum, XP)
• Experience managing clients and client relationships
• Experience in startups
• Being in LA to work from our office

BENEFITS Remote-first with flexible schedules. Health insurance, free lunches at the office, weekly knowledge-sharing talks, and an annual team retreat. Regular performance-based raises and a diversified employee equity program.

COMPENSATION

The salary range is $180k to $240k per year for US-based candidates. Not in the range? Apply anyway. We’re growing fast and may have more senior roles opening soon.

We’re working towards a flourishing future for all conscious beings. If that’s what you want to work on, we want to talk to you.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

Join NICE’s Research Group and shape the next generation of AI for enterprise CX. As a Lead Data Science Researcher, you will own highimpact research initiatives across NLP, Vision, and multimodal domains, with a strong emphasis on large language models (LLMs) and agenticAI systems.

You will combine deep handson technical work with leadership—setting direction, mentoring peers, and translating breakthrough ideas into reliable, productiongrade capabilities for NICE’s contact center solutions.

You will collaborate closely with researchers, engineers, product leaders, and subjectmatter experts to define strategy, validate research hypotheses, and lead the transition from experimental agentic systems to reliable, realworld deployments.

How will you make an impact?

Lead end‑to‑end research initiatives across NLP, Vision, and multimodal modeling, with a strong focus on LLM‑based and agentic‑AI systems.

Architect, prototype, and evaluate singleagent and multiagent systems, including planning, tool use, memory, and orchestration.

Establish and own best practices for safe, controllable, and scalable AI agents, including evaluation frameworks, guardrails, fallback strategies, and observability.

Act as a technical authority on LLM and agentic systems, guiding architectural decisions, evaluation strategies, and engineering tradeoffs.

Define rigorous offline and online evaluation strategies (KPIs, A/B testing, cost/performance tradeoffs) grounded in realworld constraints.

Deliver select research components at production quality and partner closely with productization teams to harden and deploy endtoend solutions.

Mentor researchers and data scientists, raising the bar for technical rigor, engineering quality, and applied research impact.

Communicate complex findings and risks clearly to crossfunctional stakeholders and leadership.

Stay at the forefront of AI research, contributing to the team’s agentic‑AI roadmap and long‑term research vision and help set teamwide standards and guidelines.

Have you got what it takes?

Skills-first profile with proven, hands‑on impact in applied AI. (Formal degrees welcome but not required.)

Strong Demonstrated experience building production‑grade AI agents that perform multi‑step reasoning and tool‑based actions (e.g., tool invocation, planning, memory).

Mandatory: Experience with agent frameworks/orchestration layers or custom agent runtimes (e.g., LangGraph/LangChain, semantic routers, workflow engines, or in‑house frameworks).

Strong practical expertise with LLMs (AWS Bedrock or similar platforms), including evaluation, prompt/program design, and safety patterns.

Strategic problem-solving leadership: You proactively shape ambiguous business questions into well-defined  analytical goals, challenge underlying assumptions, and ensure the work is focused on the problems with the highest impact.

Bar‑setting analytical rigor—applied pragmatically: You anticipate bias, confounders, and risks of misinterpretation early, apply the right level of methodological rigor for the decision at hand, and help others distinguish between “theoretically perfect” and “fit for purpose.”

Efficient, scalable thinking: You balance depth with speed, favor simple and robust solutions over unnecessary complexity, turn one‑off analyses into reusable insights, and help the organization avoid reinventing or over‑engineering solutions.

Track record of translating research into reliable systems in partnership with engineering/product teams.

Proficiency in Python and modern ML/DL libraries; strong AI engineering skills (clean architecture, testing, CI/CD, observability), as well as familiarity with HuggingFace or similar model ecosystems and open‑source tooling.

Experience applying GenAI to DS workflows (LLM‑as‑a‑judge, synthetic data generation, weak labeling, automated eval).

Excellent communication and mentoring skills; fluency in English.

You will have an advantage if you also have:

Experience with multi‑agent systems, reinforcement learning, or policy optimization for agent control.

Expertise in multimodal or vision‑based deep learning.

Operating experience with cloud ML at scale (AWS or equivalent).

Leading/mentoring globally distributed teams.

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

#LI-Hybrid

Requisition ID: 10398

Reporting into: Group Lead, Data Science, CX

Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

ABOUT THE ROLE

We’re looking for a Research Scientist to collaborate with partners and lead the development of the next frontier benchmarks and datasets. This is a highly visible, customer-facing role at the intersection of research, company strategy, and go-to-market. You’ll design datasets taking into account frontier model performance and work with our academic partners, and then partner with delivery, product and go-to-market to scale out production. You will also  serve as a credible technical partner for our customers, prospects, and drive results that impact the broader research community.

This role reports directly to the Head of Research and is ideal for someone who is energized by cross-functional work and wants to understand how startups operate across research, data operations, and commercial teams.

MAIN RESPONSIBILITIES

• Design state of the art datasets that drive frontier model training and evaluation based on current model performance and academic partnerships
• Translate benchmark insights into clear, compelling narratives that articulate the ROI of expert-curated data for customer-facing presentations, technical reports, and go-to-market materials.
• Work cross-functionally with data operations, product, engineering, and strategy to surface research findings that inform the company roadmap.
• Stay at the frontier of LLM evaluation research and bring best practices into Snorkel’s workflows
• Represent Snorkel’s research externally through publications, blog posts, conference talks, and customer engagements that advance the conversation around data-centric AI

PREFERRED QUALIFICATIONS

• Strong research background in AI/ML evaluation, NLP, or related fields, with a track record of rigorous experimental design — especially around measuring the impact of training and evaluation data on model behavior.
• Exceptional communication skills — able to present complex technical findings clearly to both technical and non-technical audiences
• Comfort operating in a fast-moving, cross-functional environment with ambiguous problem spaces
• Genuine interest in GTM strategy, startup dynamics, and the commercial side of AI data services.
• Ph.D. in machine learning, NLP, or a related field preferred; equivalent industry or research lab experience considered.

Salary Range

$200,000—$325,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

ABOUT THE ROLE

We’re looking for a Research Scientist to work on reinforcement learning for training and aligning large language models. This is a foundational research role focused on one of the most consequential open data problems in AI: how to generate the data, reward signals, and training procedures that steer LLM behavior in reliable and generalizable directions — and a core capability that directly differentiates Snorkel’s data-as-a-service offering.

You’ll work closely with Snorkel’s research, engineering, and delivery teams to advance our RL data capabilities — translating research ideas into the preference datasets, reward models, and RL-ready corpora we produce for frontier AI labs, and contributing to a research agenda that is central to Snorkel’s long-term differentiation as a provider of bespoke training data.

MAIN RESPONSIBILITIES

• Research and implement reinforcement learning techniques — including GRPO, RLHF, RLAIF, DPO, and reward modeling — and translate them into data products (preference datasets, reward signals, verifiable rewards) that customers can use to train and fine-tune large language models.
• Design and build data pipelines that generate high-quality training signal for RL workflows, including AI-assisted data annotation and curation data pipelines to improve model generalization to unseen benchmarks .
• Prototype and iterate on end-to-end RL training recipes that inform what data Snorkel ships as part of its data-as-a-service deliveries.
• Work closely with research scientists, ML engineers, and delivery teams to translate RL research into customer-ready data products.
• Stay current with the latest developments in large-scale muli-node LLM training, alignment research, and scalable RL methods (on complex environments such as Terminal-Bench), bringing relevant advances into Snorkel’s data-as-a-service approach.
• Contribute to Snorkel’s research publications and internal knowledge base in RL and model training.

PREFERRED QUALIFICATIONS

• Deep expertise in reinforcement learning from human or AI feedback, reward modeling and credit attribution ideally with a clear perspective on what data makes these techniques work.
• Experience training or fine-tuning 30B+ large language models at scale, including familiarity with distributed training infrastructure.
• Strong proficiency in Python and ML frameworks, especially PyTorch and HuggingFace and hands-on experience with RL frameworks such as Verl and SkyRL.
• Solid software engineering fundamentals — you can build research prototypes that others can run, extend, and integrate into data production workflows.
• Familiarity with ML infrastructure and cloud platforms and tools (AWS, GCP, Kubernetes, Slurm, etc.); experience with large-scale RL training pipelines a strong plus.
• Comfort operating in a high-iteration environment with open-ended research questions and shifting, customer-driven technical constraints.
• Ph.D. in machine learning, reinforcement learning, or a related field strongly preferred; exceptional industry experience considered.

Salary Range

$200,000—$325,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

ABOUT THE ROLE

We’re looking for a Research Scientist to collaborate with partners and lead the development of the next frontier benchmarks and datasets. This is a highly visible, customer-facing role at the intersection of research, company strategy, and go-to-market. You’ll design datasets taking into account frontier model performance and work with our academic partners, and then partner with delivery, product and go-to-market to scale out production. You will also  serve as a credible technical partner for our customers, prospects, and drive results that impact the broader research community.

This role reports directly to the Head of Research and is ideal for someone who is energized by cross-functional work and wants to understand how startups operate across research, data operations, and commercial teams.

MAIN RESPONSIBILITIES

• Design state of the art datasets that drive frontier model training and evaluation based on current model performance and academic partnerships
• Translate benchmark insights into clear, compelling narratives that articulate the ROI of expert-curated data for customer-facing presentations, technical reports, and go-to-market materials.
• Work cross-functionally with data operations, product, engineering, and strategy to surface research findings that inform the company roadmap.
• Stay at the frontier of LLM evaluation research and bring best practices into Snorkel’s workflows
• Represent Snorkel’s research externally through publications, blog posts, conference talks, and customer engagements that advance the conversation around data-centric AI

PREFERRED QUALIFICATIONS

• Strong research background in AI/ML evaluation, NLP, or related fields, with a track record of rigorous experimental design — especially around measuring the impact of training and evaluation data on model behavior.
• Exceptional communication skills — able to present complex technical findings clearly to both technical and non-technical audiences
• Comfort operating in a fast-moving, cross-functional environment with ambiguous problem spaces
• Genuine interest in GTM strategy, startup dynamics, and the commercial side of AI data services.
• Ph.D. in machine learning, NLP, or a related field preferred; equivalent industry or research lab experience considered.

Salary Range

$200,000—$325,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

ABOUT THE ROLE

We’re looking for a Research Scientist to work on reinforcement learning for training and aligning large language models. This is a foundational research role focused on one of the most consequential open data problems in AI: how to generate the data, reward signals, and training procedures that steer LLM behavior in reliable and generalizable directions — and a core capability that directly differentiates Snorkel’s data-as-a-service offering.

You’ll work closely with Snorkel’s research, engineering, and delivery teams to advance our RL data capabilities — translating research ideas into the preference datasets, reward models, and RL-ready corpora we produce for frontier AI labs, and contributing to a research agenda that is central to Snorkel’s long-term differentiation as a provider of bespoke training data.

MAIN RESPONSIBILITIES

• Research and implement reinforcement learning techniques — including GRPO, RLHF, RLAIF, DPO, and reward modeling — and translate them into data products (preference datasets, reward signals, verifiable rewards) that customers can use to train and fine-tune large language models.
• Design and build data pipelines that generate high-quality training signal for RL workflows, including AI-assisted data annotation and curation data pipelines to improve model generalization to unseen benchmarks .
• Prototype and iterate on end-to-end RL training recipes that inform what data Snorkel ships as part of its data-as-a-service deliveries.
• Work closely with research scientists, ML engineers, and delivery teams to translate RL research into customer-ready data products.
• Stay current with the latest developments in large-scale muli-node LLM training, alignment research, and scalable RL methods (on complex environments such as Terminal-Bench), bringing relevant advances into Snorkel’s data-as-a-service approach.
• Contribute to Snorkel’s research publications and internal knowledge base in RL and model training.

PREFERRED QUALIFICATIONS

• Deep expertise in reinforcement learning from human or AI feedback, reward modeling and credit attribution ideally with a clear perspective on what data makes these techniques work.
• Experience training or fine-tuning 30B+ large language models at scale, including familiarity with distributed training infrastructure.
• Strong proficiency in Python and ML frameworks, especially PyTorch and HuggingFace and hands-on experience with RL frameworks such as Verl and SkyRL.
• Solid software engineering fundamentals — you can build research prototypes that others can run, extend, and integrate into data production workflows.
• Familiarity with ML infrastructure and cloud platforms and tools (AWS, GCP, Kubernetes, Slurm, etc.); experience with large-scale RL training pipelines a strong plus.
• Comfort operating in a high-iteration environment with open-ended research questions and shifting, customer-driven technical constraints.
• Ph.D. in machine learning, reinforcement learning, or a related field strongly preferred; exceptional industry experience considered.

Salary Range

$200,000—$325,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Research Scientist / Data Manager and Analyst – 40088 Research Faculty Description University of Colorado AnschutzDepartment: Obstetrics and GynecologyJob Title: Research Scientist / Data Manager and AnalystPosition #: 00849049 – Requisition #:40088Job Summary:We are seeking a Research...

Research Scientist / Data Manager and Analyst – 40088 Research Faculty Description University of Colorado AnschutzDepartment: Obstetrics and GynecologyJob Title: Research Scientist / Data Manager and AnalystPosition #: 00849049 – Requisition #:40088Job Summary:We are seeking a Research...

Company DescriptionWhen you join Turnitin, you’ll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational...

Arvinas is a biotechnology company dedicated to improving the lives of patients suffering from debilitating and life-threatening diseases through the discovery, development, and commercialization of therapies that degrade disease-causing proteins....

Job Description

About the role

The NPI Specialist acts as a subject matter expert who possesses a deep understanding and wide application of technical principles, theories, and concepts in their given field. The purpose of this role is to propose, design, prioritize, conduct, and oversee experiments and projects to support new product introductions and advanced material research, driving breakthroughs in product quality and business growth.

Key Responsibilities

The position operates under a hybrid/on-site status layout as required.

• Prioritize, conduct, and oversee experiments and projects.
• Conduct stage gate review meetings with key stakeholders.
• Liaise with Product Managers to identify key opportunities for the site.
• Present information, communicate findings, and make recommendations to cross-functional leaders.
• Generate new ideas for products and solutions and participate in new product development.

Qualifications

Required:

• Deep understanding and can widely apply technical principles, theories, and concepts in given fields.
• Demonstrated experience in R&D Testing, Experimental Design, and establishing technical proof of concepts.
• Proven ability to write project plans, determine timelines, and allocate resources for complex technical projects.

Skills you need to succeed:

• Strong analytical skills coupled with hands-on product development and product commercialization experience.
• Excellent verbal, written communication, and presentation skills to effectively convey recommendations to cross-functional leaders.

Additional Information

What we offer

Here’s a glimpse of the great benefits you can expect: - Health & Financial Security: Enjoy Health and Life Insurance, a Cash Health Plan, Pension, and a Bonus. Benefits include a subsidized canteen, access to a discount site, free parking, free electric charging points, and free annual flu vaccinations and visual eye test vouchers. - Time Off & Flexibility: Benefit from 25 vacation days, plus statutory bank holidays, Parental leave and family-friendly policies, and flexible working arrangements. - Well-being & Continuous Development: Access an Employee Assistance Program, our comprehensive Wellbeing Policy, and Development Discussions for career growth. Join our Active Sports & Social Club and enjoy annual summer and Christmas events. - Community Engagement: Opportunities to participate in volunteer activities to support Non-Profit Organizations.

Why join Avery Dennison

We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. Learn more at www.averydennison.com. At Avery Dennison, we work with the biggest brands in the FMCG, apparel, automotive, and pharma industries. Our Cramlington location, founded in 1969, is a collaborative and dynamic environment that supports our Materials Group - EMENA division and employs approximately 230 talented individuals. Key functions at this site include Manufacturing and Operations, Quality, Enterprise Lean Sigma, Maintenance, Research and Development, HR, Finance, Marketing, Customer Service, EHS and IT, offering diverse career paths and opportunities for growth.

Equal Opportunity Employer

Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status. If you are unable to use our online application process due to a disability, please contact us to request an accommodation at [email protected]. In the EMEA region, we foster an inclusive culture through active Employee Resource Groups (ERGs) like Elevate, Unite, and our Mental Health group. Please visit our DE&I page to learn more about our Diversity, Equity & Inclusion approach.

Pay Transparency Statement

The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate’s relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.

Job Description

About the role

The NPI Specialist acts as a subject matter expert who possesses a deep understanding and wide application of technical principles, theories, and concepts in their given field. The purpose of this role is to propose, design, prioritize, conduct, and oversee experiments and projects to support new product introductions and advanced material research, driving breakthroughs in product quality and business growth.

Key Responsibilities

The position operates under a hybrid/on-site status layout as required.

• Prioritize, conduct, and oversee experiments and projects.
• Conduct stage gate review meetings with key stakeholders.
• Liaise with Product Managers to identify key opportunities for the site.
• Present information, communicate findings, and make recommendations to cross-functional leaders.
• Generate new ideas for products and solutions and participate in new product development.

Qualifications

Required:

• Deep understanding and can widely apply technical principles, theories, and concepts in given fields.
• Demonstrated experience in R&D Testing, Experimental Design, and establishing technical proof of concepts.
• Proven ability to write project plans, determine timelines, and allocate resources for complex technical projects.

Skills you need to succeed:

• Strong analytical skills coupled with hands-on product development and product commercialization experience.
• Excellent verbal, written communication, and presentation skills to effectively convey recommendations to cross-functional leaders.

Additional Information

What we offer

Here’s a glimpse of the great benefits you can expect: - Health & Financial Security: Enjoy Health and Life Insurance, a Cash Health Plan, Pension, and a Bonus. Benefits include a subsidized canteen, access to a discount site, free parking, free electric charging points, and free annual flu vaccinations and visual eye test vouchers. - Time Off & Flexibility: Benefit from 25 vacation days, plus statutory bank holidays, Parental leave and family-friendly policies, and flexible working arrangements. - Well-being & Continuous Development: Access an Employee Assistance Program, our comprehensive Wellbeing Policy, and Development Discussions for career growth. Join our Active Sports & Social Club and enjoy annual summer and Christmas events. - Community Engagement: Opportunities to participate in volunteer activities to support Non-Profit Organizations.

Why join Avery Dennison

We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. Learn more at www.averydennison.com. At Avery Dennison, we work with the biggest brands in the FMCG, apparel, automotive, and pharma industries. Our Cramlington location, founded in 1969, is a collaborative and dynamic environment that supports our Materials Group - EMENA division and employs approximately 230 talented individuals. Key functions at this site include Manufacturing and Operations, Quality, Enterprise Lean Sigma, Maintenance, Research and Development, HR, Finance, Marketing, Customer Service, EHS and IT, offering diverse career paths and opportunities for growth.

Equal Opportunity Employer

Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status. If you are unable to use our online application process due to a disability, please contact us to request an accommodation at [email protected]. In the EMEA region, we foster an inclusive culture through active Employee Resource Groups (ERGs) like Elevate, Unite, and our Mental Health group. Please visit our DE&I page to learn more about our Diversity, Equity & Inclusion approach.

Pay Transparency Statement

The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate’s relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.

Position: Corporate Credit Funds Research  – Associate Director (NY)

Entity: Kroll Bond Rating Agency, LLC

Employment Type: Full-Time

Location: New York, NY

Summary/Overview

KBRA is seeking an Associate Director to join its Corporate Credit Funds Research Group, a highly visible and interconnected team responsible for producing market-facing, data-driven research focused on the private credit ecosystem. The role sits at the center of KBRA’s proprietary data ecosystem and focuses on translating complex datasets into credit-oriented insights for investors, issuers, fund managers, bankers, and internal stakeholders.

About the Job

• Develop research in collaboration with sector experts, leveraging years of proprietary data, including:
  • Corporate research that leverages KBRA’s access to financial statements, lender investment memoranda, and credit agreements for more than 5,300 sponsor-backed middle market companies.
  • Fund research derived from rated note feeders, collateralized fund obligations, private equity net asset value loans, and asset-based finance reporting and performance.
  • Structured credit research, including analysis of collateralized loan obligations (CLOs) and related structured products.
• Develop a deep understanding of the key drivers of credit performance, including how private markets function, risk dynamics, and return generation.
• Collaborate with senior members across the firm on research, database development, and analysis.
• Participate in diligence meetings with fund management teams to understand key themes and risks emerging in private markets.
• Lead the development of thematic, market-facing research pieces that shape external perspectives on private markets.
• Track defaults and recoveries, and research the underlying drivers.
• Write quarterly reports on corporate credit, structured credit, and fund-related topics, as well as intermittent updates based on recent trends or news.
• Develop presentations used internally and for public conferences.

You will be successful in this role if you have

• A keen curiosity about private markets and credit with a demonstrated capability and willingness to learn.
• Attention to detail.
• Demonstrated initiative to explore ideas and develop original, defensible, data-driven views that can be synthesized into public papers.
• Strong understanding of either corporate, fund, or structured credit analysis.
• Strong writing skills.
• Familiarity with generative AI tools (e.g., ChatGPT). Coding or programming experience is a plus.
• [] ([]) or more years of experience in credit, research, banking, journalism, investing, or structured finance.
• A bachelor’s degree.

Salary Range:

The anticipated annual base salary range for this full-time position is $120,000 to $150,000. Offer amounts are determined by factors such as experience, skills, geography, and other job-related factors.

Benefits:

• A hybrid work schedule (Tuesday, Wednesday and Thursdays in the office)
• Competitive benefits and paid time off
• Paid family and disability leave
• 401(k) plan, including employer match (100% vested)
• Educational and professional development financial assistance
• Employee referral bonus program

About Us

Kroll Bond Rating Agency, LLC (KBRA) is a full-service credit rating agency registered with the U.S. Securities and Exchange Commission as an NRSRO. Kroll Bond Rating Agency Europe Limited is registered as a CRA with the European Securities and Markets Authority. Kroll Bond Rating Agency UK Limited is registered as a CRA with the UK Financial Conduct Authority pursuant to the Temporary Registration Regime. In addition, KBRA is designated as a designated rating organization by the Ontario Securities Commission for issuers of asset-backed securities to file a short form prospectus or shelf prospectus. KBRA is also recognized by the National Association of Insurance Commissioners as a Credit Rating Provider.

#LI-KS1

#LI-HYBRID

The aim of compliance-driven due diligence is to assess our clients’ actual or potential counterparties, looking for any issues that might pose a reputational or other risk to them.

As part of a dedicated team (Scaled Diligence Programme), the compliance due diligence researcher role involves media research, working with databases, primary documents and other sources to uncover reputational and criminal issues and ultimate beneficial ownership, as well as making sense of complex corporate structures and identifying possible political and sanctions exposure.

Your main task will be to review, coordinate and report the findings of OSINT and HUMINT research concisely within short timeframes. A meticulous eye for detail is a must in this challenging, fast-paced role. The right candidate will be a team player who can maintain a positive attitude under pressure. You will be required to make sense of complex information and have a clear and crisp writing style.

Case management

• Work on a range of due diligence assignments, which include corporate compliance/ABAC/ESG and financial crime/IPO/KYC projects
• Conduct media and database research using complex search criteria and following a strict methodology
• Liaise with in-country source networks to obtain relevant compliance-related information not available via OSINT sources.
• Analyse search results within the context of the project and the country,
• Distil conclusions and identify indirect connections from research findings
• Rate findings based on standard or tailored risk assessment methodologies
• Summarise all relevant findings in a report
• When required, brief and present findings to internal colleagues
• Collaborate with team members across the firm to deliver joint projects

Essential

• Knowledge of research techniques, databases, networks, online registers and archives, and research in the general internet
• Knowledge of the business, political, and social context of a geographical area
• Native or equivalent fluency in English and either Danish, Swedish or Norwegian
• Excellence in research and writing in English and clear communication style
• Communicate complex topics verbally and in writing effectively
• Ability to summarise large amounts of information in a clear and concise manner
• Ability to manage and prioritise multiple tasks to tight deadlines
• Curiosity, attention to detail and problem-solving skills
• Ability to work independently and in a team
• Education to degree level

Preferred

• Demonstrated professional experience

• Fluency in an additional language

• Control Risks offers a competitively positioned compensation and benefits package that is transparent and summarised in the full job offer.

• We operate a discretionary global bonus scheme that incentivises, and rewards individuals based on company and individual performance.

• Control Risks supports hybrid working arrangements, wherever possible, that emphasise the value of in-person time together - in the office and with our clients - while continuing to support flexible and remote working.

• Working with our clients, from day one our people are given direct responsibility, career development and the opportunity to work collaboratively on fascinating projects in a rewarding and inclusive global environment.

• The Company is committed to further its diversity, inclusion and equity agenda and as an employee you have access to various business resource groups in the Company including the Company’s LGBT+ network called MOSAIC, the Women’s Network, and Synergy - a people network to celebrate and promote ethnic diversity at Control Risks

Control Risks is committed to a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

If you require any reasonable adjustments to be made in order to participate fully in the interview process, please let us know and we will be happy to accommodate your needs.

The Koch Associate Program (KAP) is a career accelerator for early to mid-career professionals with a drive to tackle our country’s most pressing challenges in more effective, principled ways. KAP equips associates with the tools, mindsets, and community to succeed as social entrepreneurs—individuals excited to find new and better ways to break barriers and eliminate injustice. Associates spend one day each week engaging in experiential learning with Stand Together Fellowships and work at one of our many partner organizations the rest of the week. Our curriculum is designed to supercharge your development and equip you for long-term success as you seek to have an impact on the problems that prevent people from realizing their potential.

IW’s Policy Analyst (for Family Policy) is responsible for following, analyzing, researching, writing, and speaking on policies related to child care, paid leave, and broader family policy issues for IW. She will produce thoughtful policy content that builds support for flexible, family-centered policy solutions that expand choice and affordability without significant government expansions. She will serve as a resource whenever IW’s family policy efforts or the larger organization need support on issues related to child care, paid leave, and family economic security.

She must be comfortable working to advance IW’s mission and share our core values, be a team player who is happy to say “yes” to any and all tasks, and be knowledgeable about the family policy landscape and broader policy and communications environment. She should be a self-starter who is detail- and results-oriented.

With hard work, IW’s Policy Analyst (Family Policy) could gain invaluable skills, develop subject-matter expertise, grow a network of relationships, and advance into a role that offers even more opportunities to contribute content for IW. Initially, however, the role is focused on offering support to IW’s policy team and existing policy experts and staff.

Who We Are:

Independent Women® ‘s trusted experts, analysis, and data enable us to drive informed conversations to build support for better policy solutions. We are different, in that we successfully talk to not only the conservative base, but to centrist women independents, and Millennials/Gen Z helping them embrace policies and approaches that improve lives.

IW operates as a virtual office. While we maintain regular working hours, our virtual office means staff spends more time getting things done and less time sitting in traffic. Still, we understand the importance of personal relationships,which is why we remain in constant daily communicatio n and hold regular staff and department calls.

Types of Activities Include:

• Stay abreast of federal and state policy debates related to child care, paid leave, and family policy, and keep IW leadership informed;
• Monitor legislative and regulatory developments and identify opportunities to advance IW’s policy approach;
• Support policy staff with research and drafting of content for IW platforms;
• Draft policy papers and issue briefs related to family policy;
• Draft blogs and op-eds on developments in child care, paid leave, and related issues;
• Create and maintain resources tracking key legislation, regulations, and policy trends;
• Work with the State Affairs team to draft content for Action Centers and other advocacy materials;
• Engage with stakeholders, families, and policy experts to inform IW’s work;
• Work with government officials and coalitions on proposed legislation and reforms;
• Collaborate with the Independent Women’s Network team to develop campaigns and engagement opportunities;
• Alongside IW Comms, support messaging and communications strategy on family policy issues; and
• Potentially participate in videos and other marketing materials.

Applicants for this job should possess:

• Excellent written and oral communication skills, with an ability to translate complex policy into clear, compelling content;
• A strong interest in family policy, including child care and paid leave;
• A “yes” attitude and strong self-directed work ethic;
• At least 2 years of relevant work experience;
• Ability to work remotely without significant daily oversight;
• Willingness to travel sporadically throughout the year as needed.

About Stand Together Fellowships

Learn more about Stand Together Fellowships.

Stand Together Fellowships believes that diversity in experiences, perspectives, knowledge and ideas fuels creativity, broadens knowledge, and helps drive success. Our admissions office treats all program participants and applicants with honesty, dignity, respect and sensitivity. We welcome all qualified applicants regardless of color, race, religion, religious creed, sex, gender or gender identity, gender expression, sexual orientation, national origin, citizenship, ethnicity, ancestry, age, physical disability, mental disability, medical condition, pregnancy (including medical needs which may arise from pregnancy, childbirth, or related medical conditions), military and veteran status, genetic information, marital or familial status, political affiliation, or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The Role

We’re looking for Applied Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.

Situated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:

World & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.

Representation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.

Scalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.

Cross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors.

Key Responsibilities

• Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation
• Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data
• Develop Geometric Foundation Modelsfor 3D spatial understanding in dynamic, real-world environments.
• Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.
• Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer
• Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance

What You’ll Bring

Must-haves:

• 3+ years of experience developing and deploying ML systems in real-world or production settings

• PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field

• Deep expertise in one or more core Embodied AI areas, such as:

  • Foundation models (e.g., transformers, MoE, large-scale training)
  • Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)
  • Reinforcement learning (e.g., offline RL, RLHF, reward modeling)
  • Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)

• Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)

• Strong programming skills in Python, with experience using frameworks such as PyTorch

• A data-centric mindset, with experience working on large-scale datasets and evaluation

• Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams

Nice-to-haves:

• Experience in autonomous driving, robotics, or simulation systems
• Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)
• Experience with sim-to-real transfer or data-efficient learning
• Contributions to open-source ML tools or research infrastructure

What we offer you

• Attractive compensation with salary and equity
• Immersion in a team of world-class researchers, engineers and entrepreneurs
• A unique position to shape the future of autonomy and tackle the biggest challenge of our time
• Bespoke learning and development opportunities
• Relocation support with visa sponsorship
• Flexible working hours - we trust you to do your job well, at times that suit you and your time
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!

This is a full-time role based in our office in Vancouver. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we’re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The Role

We’re looking for Applied Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.

Situated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:

World & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.

Representation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.

Scalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.

Cross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors.

Key Responsibilities

• Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation
• Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data
• Develop Geometric Foundation Modelsfor 3D spatial understanding in dynamic, real-world environments.
• Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.
• Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer
• Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance

What You’ll Bring

Must-haves:

• 3+ years of experience developing and deploying ML systems in real-world or production settings

• PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field

• Deep expertise in one or more core Embodied AI areas, such as:

  • Foundation models (e.g., transformers, MoE, large-scale training)
  • Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)
  • Reinforcement learning (e.g., offline RL, RLHF, reward modeling)
  • Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)

• Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)

• Strong programming skills in Python, with experience using frameworks such as PyTorch

• A data-centric mindset, with experience working on large-scale datasets and evaluation

• Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams

Nice-to-haves:

• Experience in autonomous driving, robotics, or simulation systems
• Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)
• Experience with sim-to-real transfer or data-efficient learning
• Contributions to open-source ML tools or research infrastructure

What we offer you

• Attractive compensation with salary and equity
• Immersion in a team of world-class researchers, engineers and entrepreneurs
• A unique position to shape the future of autonomy and tackle the biggest challenge of our time
• Bespoke learning and development opportunities
• Relocation support with visa sponsorship
• Flexible working hours - we trust you to do your job well, at times that suit you and your time
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!

This is a full-time role based in our office in London.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we’re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

The Koch Associate Program (KAP) is a career accelerator for early to mid-career professionals with a drive to tackle our country’s most pressing challenges in more effective, principled ways. KAP equips associates with the tools, mindsets, and community to succeed as social entrepreneurs—individuals excited to find new and better ways to break barriers and eliminate injustice. Associates spend one day each week engaging in experiential learning with Stand Together Fellowships and work at one of our many partner organizations the rest of the week. Our curriculum is designed to supercharge your development and equip you for long-term success as you seek to have an impact on the problems that prevent people from realizing their potential.

IW’s Policy Analyst (for Family Policy) is responsible for following, analyzing, researching, writing, and speaking on policies related to child care, paid leave, and broader family policy issues for IW. She will produce thoughtful policy content that builds support for flexible, family-centered policy solutions that expand choice and affordability without significant government expansions. She will serve as a resource whenever IW’s family policy efforts or the larger organization need support on issues related to child care, paid leave, and family economic security.

She must be comfortable working to advance IW’s mission and share our core values, be a team player who is happy to say “yes” to any and all tasks, and be knowledgeable about the family policy landscape and broader policy and communications environment. She should be a self-starter who is detail- and results-oriented.

With hard work, IW’s Policy Analyst (Family Policy) could gain invaluable skills, develop subject-matter expertise, grow a network of relationships, and advance into a role that offers even more opportunities to contribute content for IW. Initially, however, the role is focused on offering support to IW’s policy team and existing policy experts and staff.

Who We Are:

Independent Women® ‘s trusted experts, analysis, and data enable us to drive informed conversations to build support for better policy solutions. We are different, in that we successfully talk to not only the conservative base, but to centrist women independents, and Millennials/Gen Z helping them embrace policies and approaches that improve lives.

IW operates as a virtual office. While we maintain regular working hours, our virtual office means staff spends more time getting things done and less time sitting in traffic. Still, we understand the importance of personal relationships,which is why we remain in constant daily communicatio n and hold regular staff and department calls.

Types of Activities Include:

• Stay abreast of federal and state policy debates related to child care, paid leave, and family policy, and keep IW leadership informed;
• Monitor legislative and regulatory developments and identify opportunities to advance IW’s policy approach;
• Support policy staff with research and drafting of content for IW platforms;
• Draft policy papers and issue briefs related to family policy;
• Draft blogs and op-eds on developments in child care, paid leave, and related issues;
• Create and maintain resources tracking key legislation, regulations, and policy trends;
• Work with the State Affairs team to draft content for Action Centers and other advocacy materials;
• Engage with stakeholders, families, and policy experts to inform IW’s work;
• Work with government officials and coalitions on proposed legislation and reforms;
• Collaborate with the Independent Women’s Network team to develop campaigns and engagement opportunities;
• Alongside IW Comms, support messaging and communications strategy on family policy issues; and
• Potentially participate in videos and other marketing materials.

Applicants for this job should possess:

• Excellent written and oral communication skills, with an ability to translate complex policy into clear, compelling content;
• A strong interest in family policy, including child care and paid leave;
• A “yes” attitude and strong self-directed work ethic;
• At least 2 years of relevant work experience;
• Ability to work remotely without significant daily oversight;
• Willingness to travel sporadically throughout the year as needed.

About Stand Together Fellowships

Learn more about Stand Together Fellowships.

Stand Together Fellowships believes that diversity in experiences, perspectives, knowledge and ideas fuels creativity, broadens knowledge, and helps drive success. Our admissions office treats all program participants and applicants with honesty, dignity, respect and sensitivity. We welcome all qualified applicants regardless of color, race, religion, religious creed, sex, gender or gender identity, gender expression, sexual orientation, national origin, citizenship, ethnicity, ancestry, age, physical disability, mental disability, medical condition, pregnancy (including medical needs which may arise from pregnancy, childbirth, or related medical conditions), military and veteran status, genetic information, marital or familial status, political affiliation, or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.