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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