ML Research Engineer/Scientist
Boltz PBC is an AI-for-science company building biomolecular models, compute infrastructure, APIs, and collaborative tools for molecular design and drug discovery.
Funding history
About Boltz
Boltz develops frontier AI models for biomolecular structure prediction, binding-affinity estimation, and protein and small-molecule design. Its current offerings include open-source models and the commercial Boltz Lab and Boltz API products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop machine learning models, architectures, training objectives, and datasets for molecular modeling and design. You will build benchmarks and validation pipelines, evaluate model progress against real-world outcomes, and translate research advances into reliable production capabilities.
Requirements
- Extensive publication record in top-tier machine learning or life-science conferences and journals
- Deep learning research and development experience
- PyTorch
- NumPy
- SciPy
- Pandas
- Experience maintaining deep-learning codebases with reproducibility and testing standards
Responsibilities
- Develop machine learning models and algorithms for molecular modeling and design
- Design model architectures, training objectives, and training datasets
- Build rigorous benchmarks and validation pipelines
- Evaluate model progress and connect offline metrics to real-world outcomes
- Set scientific and technical direction while delivering production capabilities
Benefits
- Substantial equity ownership