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Job Description

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 field Research excellence in LLMs or adjacent areas (reasoning/agents, sequence modeling, representation learning, optimization) demonstrated through publications at top venues or impactful work Hands-on ML experience with PyTorch or JAX, including reproducible experiment workflows Strong Python skills and fluency with standard ML tools Ability to work independently while collaborating effectively in a small team Experience building LLM systems: agentic frameworks, RAG, multi-agent simulations, RLHF/DPO, or evaluation methodologies Domain knowledge in chemistry, biology, physics, materials science, or related fields

What's in it for me:

Competitive Compensation: $140k–$240k dependent on experience Work on originating and fostering breakthrough ventures transforming human health and sustainability Relocation assistance available (typically $10k sign-on bonus)

Apply now for immediate consideration!

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