[Hiring] Staff/Principal Research Scientist @Snorkel AI

Role 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.

Location: Redwood City or 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.

Qualifications

• 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.

Requirements

• The salary range for this position is $250,000–$350,000, depending on experience, interview performance, and leveling.
• 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.

Benefits

• 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.