Snorkel AI - Staff/Principal Research Scientist

Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote) - Hybrid$250k - $250k2mo ago

In Office Principal NA Cloud Computing Artificial Intelligence Research Scientist Principal Python scikit-learn Pandas AWS Move

Requirements

• 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. • The salary range for this position is $250,000–$350,000, depending on experience, interview performance, and leveling. • $250,000–$350,000 • 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. • $250,000—$350,000 USD • Be Your Best at Snorkel

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.