S

Machine Learning Scientist

United States
Full Remote
This Job is No Longer Active This position is no longer accepting applications

Lead the design, development, and training of large, generative deep learning systems for small molecule drug discovery. Develop and maintain training pipelines, evaluate model quality, and collaborate with colleagues. Strong Python and PyTorch experience required.

Key Highlights
Design and implement large co-folding model architectures
Develop and maintain training pipelines
Collaborate with ML and software colleagues
Key Responsibilities
Design and implement improvements to large co-folding model architectures
Build and maintain training pipelines that support reliable, rapid, and large-scale experimentation
Develop and maintain benchmarking and evaluation workflows
Technical Skills Required
Python PyTorch Deep Learning
Benefits & Perks
Competitive compensation package
Fully remote role
Preference for East Coast US candidates
Nice to Have
Geometric deep learning
Equivariant neural network architectures
Protein-ligand modelling

Job Description

About the Company

A well-funded, AI-native biotech on a mission to deliver better medicines through innovation in AI-based drug discovery. The company has developed proprietary deep learning technology for protein-ligand co-folding and structure prediction, and is now scaling that technology to power the next generation of small molecule drug discovery programmes. This is a high-impact scientific role sitting at the intersection of cutting-edge ML research and real-world therapeutic application.

The Role

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