Research & Design Scientist
4 weeks ago
Machine Learning Scientist LLM Systems for Scientific Discovery
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.
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
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
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
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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