Machine Learning Scientist — Large multimodal models

Posted

iambic-therapeuticsBoston Officefull-timejunior

Tech Stack

Responsibilities

  • Research and implement architectural improvements to large-scale multimodal transformer models for biomedical applications.
  • Optimize training pipelines for efficiency, stability, and scalability across many-GPU clusters.
  • Develop and apply inference optimization techniques to support deployment in interactive discovery workflows.
  • Design and maintain benchmarking and evaluation frameworks that track model quality across modalities and downstream tasks.
  • Collaborate with ML and software engineering colleagues and partner with computational chemists, medicinal chemists, and biologists to operationalize models and ensure development is grounded in drug discovery needs.

Benefits

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

Culture

Mission-DrivenCross-Functional TeamsInclusive HiringDiverse LeadershipWork-Life BalanceMentorship Program

Requirements

Required: MS in ML/CS or a computational STEM field, or PhD or equivalent industry experience
Regions: Uk, Us

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