Machine Learning ScientistAcceler8 Talent • Cambridge, MA, United States
Machine Learning Scientist
Acceler8 Talent • Cambridge, MA, United States
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job_description.job_card.job_descriptionPhD 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 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)
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 :
What's in it for me :
Apply now for immediate consideration!
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Machine Learning Scientist • Cambridge, MA, United States
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