Senior/Staff Research Scientist Jobs

Snorkel AI

Location:
United States, Redwood City ▼
San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

200000.00 - 275000.00 USD / Year

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Job Description:

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.

Job Responsibility:

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

Requirements:

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
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

What we offer:

Meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success
Fully supported in building your career in an environment designed for growth, learning, and shared success
Equal Employment Opportunity employer committed to building a diverse team
Reasonable accommodation provided for individuals with disabilities

Additional Information:

Job Posted:
December 12, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior/Staff Research Scientist