Machine Learning Scientist — Large Multimodal Models (Post-Training)

Posted

iambic-therapeuticsBoston Officefull-time

Tech Stack

Responsibilities

  • Research and develop post-training strategies for large-scale multimodal foundation models
  • Design reward functions, training objectives, data-generation strategies, and evaluation protocols for reinforcement learning
  • Build systematic experimentation and hyperparameter optimization workflows to explore post-training recipes
  • Develop and apply inference optimization techniques to support deployment in high-throughput workflows
  • Design and maintain rigorous benchmarking and evaluation frameworks that measure model quality across modalities

Benefits

  • 401k
  • Gym Membership
  • Health Insurance
  • Remote Work

Culture

Cross-Functional TeamsMission-DrivenInclusive Hiring

Requirements

Required: PhD in machine learning, computer science, computational chemistry, physics, or a related computational STEM field, or equivalent industry experience demonstrating comparable depth
Regions: Us

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About iambic-therapeutics
Industry: healthtech
Size: small

Iambic Therapeutics is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform.

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