Principal Machine Learning Engineer

Tech Stack

Responsibilities

• Interpret qualitative challenges in building AI agents for science as well-formulated optimizable problems
• Build appropriate environments in which to train and deploy AI agents that solve scientific tasks
• Work with scientists to formulate training data pipelines, and scale them, ensuring observability and reproducibility
• Lead training of large-scale LLM-based systems, including building internal infrastructure to improve the efficiency of experimentation and production training runs
• Build efficient and flexible inference infrastructure, supporting complex sampling algorithms and custom architectures

Benefits

• 401k
• Equity
• Gym Membership

Culture

Requirements