Machine Learning Scientist LLM Systems for Scientific Discovery
About the Team
Join the internal AI initiative of a prominent venture studio that has launched 100+ life sciences companies (including Moderna). You'll be part of a ~20-person technical team in Cambridge building advanced LLM and ML systems that accelerate scientific breakthroughs and help launch new AI-first ventures.
What Will I Be Doing :
- Research & prototype novel LLM workflows (agents, reasoning systems, tool-use frameworks) tailored to scientific applications
- Define success metrics and design custom benchmarks to evaluate AI systems across diverse scientific domains
- Collaborate with ML engineers to scale promising prototypes into production systems
- Stay at the frontier by synthesizing state-of-the-art research and validating findings through rigorous experimentation
- Build feedback loops that incorporate user testing into system development
What We're Looking For :
PhD in machine learning, computer science, statistics, physics, mathematics, or related quantitative fieldResearch excellence in LLMs or adjacent areas (reasoning / agents, sequence modeling, representation learning, optimization) demonstrated through publications at top venues or impactful workHands-on ML experience with PyTorch or JAX, including reproducible experiment workflowsStrong Python skills and fluency with standard ML toolsAbility to work independently while collaborating effectively in a small teamExperience building LLM systems : agentic frameworks, RAG, multi-agent simulations, RLHF / DPO, or evaluation methodologiesDomain knowledge in chemistry, biology, physics, materials science, or related fieldsWhat's in it for me :
Competitive Compensation : $140k$240k dependent on experienceWork on originating and fostering breakthrough ventures transforming human health and sustainabilityRelocation assistance available (typically $10k sign-on bonus)Apply now for immediate consideration!