Scientist II / Senior ML Scientist, Cofolding and Structure-Aware ML
Cambridge, MA USA; London, UK; San Francisco, CA USA
USD 228K-358K Mid-level Full Time
Tasks
- Build rigorous evaluation frameworks
- Collaborate with computational chemistry and biophysics teams
- Connect model outputs to physically and chemically meaningful hypotheses
- Define datasets labels negatives controls and metadata
- Design training objectives for multimodal data
- Develop structure aware modeling approaches
- Expose models as tools for scientists and AI agents
- Scale training inference and evaluation workflows
- Train and evaluate cofolding models
- Use contrastive learning and self supervised learning
Perks/Benefits
- Commuter benefits
- Company holidays
- Educational assistance
- Employer paid life and disability insurance
- Flexible time off
- Medical, dental & vision coverage
- Paid parental leave
- Subsidized lunch program
Skills/Tech-stack
Active Learning | Cofolding | Contrastive Learning | Deep learning | Diffusion Models | Distributed Training | Equivariant graph neural networks | Geometric Deep Learning | Graph Neural Networks | JAX | Language Models | Ligand modeling | Machine Learning | Molecular Encoders | Multimodal Learning | Neural Networks | Protein Language Models | Protein Ligand | Protein-Ligand Modeling | PyTorch | Representation Learning | Self-Supervised Learning | Self-supervised | Structure prediction | Supervised Learning
Education
Regions
Countries
States
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