Snorkel AI Logo

Snorkel AI

Research Scientist

Reposted One Month Ago
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
200K-375K Annually
Senior level
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
200K-375K Annually
Senior level
The Senior/Staff Research Scientist will develop and implement AI techniques, prototype solutions, and collaborate with teams to apply research in real-world settings.
The summary above was generated by AI

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 since 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!

As a Research Scientist at Snorkel AI, you will bridge the gap between cutting-edge research and real-world AI systems. This is a hands-on role where you will prototype, build, and deploy innovative AI solutions—translating research breakthroughs into scalable, practical applications that solve real-world problems.

Snorkel AI operates in a fast-paced, high-impact environment, where we move quickly to push the boundaries of what’s possible. We’re looking for someone who thrives on rapid iteration, solving open-ended challenges, and driving innovation from research into production.

Location: San Francisco OR REMOTE

Main Responsibilities
  • Design, implement, and validate novel AI techniques for data development such as synthetic data generation, utilizing techniques such as LLM as a Judge
  • Prototype and build end-to-end workflows, integrating research ideas into scalable systems.
  • Write high-quality, maintainable code, ensuring robust implementation of research-driven innovations.
  • Move fast and adapt—iterating on solutions in response to new challenges, customer needs, and emerging research.
  • Work closely with real-world design partners, testing solutions in applied settings with measurable impact.
  • Collaborate with research scientists, engineers, and industry partners to push forward Snorkel AI’s broader research initiatives and rapidly productionize prototypes.
Preferred Qualifications
  • Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on applied research and system-building.
  • Experience in developing, experimenting, and deploying AI models at scale.
  • Proficiency in Python and machine learning frameworks (NumPy, Scikit-learn, Pandas, PyTorch, TensorFlow, etc.).
  • Experience with software engineering best practices (e.g., clean coding, modular design, version control).
  • Familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs, TPUs).
  • Ability to work in a fast-moving, iterative environment, comfortable with ambiguity and open-ended challenges.
  • A bias for action—willing to roll up your sleeves, experiment, and move quickly to solve problems.

This role is ideal for candidates who love both research and building real AI systems in a dynamic, high-impact setting. A Ph.D. in machine learning or a related field with a strong publication record is preferred, but we also welcome applications from those with equivalent expertise gained through industry experience, research labs, or other career paths.


Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role
$200,000—$375,000 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.

HQ

Snorkel AI Redwood, California, USA Office

55 Perry Street, Redwood, CA, United States, 94063

Similar Jobs

2 Days Ago
Remote
United States
150K-300K Annually
Entry level
150K-300K Annually
Entry level
Artificial Intelligence • Software
Conduct original research to develop frontier STEM benchmarks, evaluations, synthetic data methods, hallucination and reliability techniques, and agentic science workflows. Responsibilities include identifying research gaps, designing experiments, building evaluation pipelines, validating results, constructing benchmarks, and publishing findings. The role requires strong knowledge of modern LLMs, scientific judgment, quantitative reasoning, Python, technical writing, and independent research execution. This is an in-office position five days per week in San Francisco, Palo Alto, or Seattle.
Top Skills: Ai AgentsLarge Language Models (Llms)PythonReinforcement LearningSynthetic Data
2 Days Ago
Remote
United States
250K-350K Annually
Senior level
250K-350K Annually
Senior level
Artificial Intelligence • Software
Conduct original research to evaluate, train, and improve frontier AI systems. Responsibilities include developing STEM benchmarks, synthetic data methods, reliability and hallucination evaluations, verification techniques, and agentic science workflows. The role involves identifying research gaps, designing rigorous experiments, building evaluation pipelines, publishing findings, and proposing new research directions across reasoning, AI evaluation, data generation, and AI-for-science.
Top Skills: Ai EvaluationBenchmarkingLarge Language ModelsMachine LearningPythonReinforcement LearningSynthetic Data
2 Days Ago
Remote
United States
250K-400K Annually
Entry level
250K-400K Annually
Entry level
Artificial Intelligence • Software
Conduct original research to evaluate, train, and improve frontier AI systems. Design benchmarks, synthetic-data methods, reliability and hallucination evaluations, verification techniques, and agentic science workflows. Identify research gaps, formulate hypotheses, build experiments and evaluation pipelines, publish findings, and develop new research directions across STEM and AI. The role requires strong Python skills, quantitative reasoning, technical writing, and expertise with modern LLMs.
Top Skills: Agentic AiAi EvaluationBenchmark ConstructionFrontier AiLarge Language Models (Llms)Machine LearningPythonReinforcement LearningScientific ComputingSynthetic Data

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account