Research Scientist

About the job

Responsibilities

• Design, implement, and validate novel AI techniques for data development, such as synthetic data generation using LLM as a Judge.
• Prototype and build end-to-end workflows, integrating research ideas into scalable systems.
• Write high-quality, maintainable code for robust implementation of research-driven innovations.
• Iterate on solutions in response to new challenges, customer needs, and emerging research.
• Test solutions in applied settings with real-world design partners to achieve measurable impact.
• Collaborate with research scientists, engineers, and industry partners to advance Snorkel AI's research initiatives and 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).
• Experience with software engineering best practices (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, willingness to experiment and move quickly to solve problems.
• Ph.D. in machine learning or a related field with a strong publication record is preferred, or equivalent expertise gained through industry experience or research labs.

Benefits

• Meaningful opportunities to shape priorities and initiatives.
• Influence key strategic decisions.
• Directly impact ongoing success.
• Support for building career in an environment designed for growth, learning, and shared success.