Machine Learning Scientist — Large multimodal models
Posted
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 Balance
Requirements
Required: MS in ML/CS or a computational STEM field, or PhD or equivalent industry experience
Regions: Uk, Us
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About iambic-therapeutics
Industry: life-science
Size: small
Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Founded in 2020, Iambic unites pioneering AI experts and experienced drug hunters.
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