Machine Learning Scientist (Cambridge) Job at Acceler8 Talent, Cambridge, MA

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  • Acceler8 Talent
  • Cambridge, MA

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!

Job Tags

Part time, Immediate start, Relocation package,

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