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Snorkel AI

Staff/Principal Research Scientist

Snorkel AI

Research Scientist bridging AI research and real-world systems at Snorkel AI. Prototyping and deploying innovative AI solutions to solve practical challenges.

Posted 4/13/2026full-timeRedwood City • California • 🇺🇸 United StatesLead💰 $250,000 - $350,000 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on applied research and system-building.
  • PhD in Computer Science, Machine Learning, AI, or a related field, with 4+ years of industry or postdoctoral research experience; or equivalent experience.
  • 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.

Benefits

Comp & perks
  • Health insurance
  • Professional development opportunities
  • Flexible work arrangements

ATS Keywords

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Hard Skills & Tools
AINLPmulti-modal modelsLLMsgenerative AIPythonNumPyScikit-learnPandasPyTorch
Soft Skills
adaptabilitycollaborationproblem-solvingcommunicationbias for actioniterative developmentcomfort with ambiguity
Certifications
PhD in Computer SciencePhD in Machine LearningPhD in AI