Machine Learning Scientist
Latent Labs is an active AI-for-science company building generative models and agentic workflows for programmable biology and drug design.
Funding history
About Latent Labs
Latent Labs develops the Latent Labs Platform and the Latent-X model family and Latent-Y agent to help researchers generate protein binders, antibodies, peptides, and other therapeutic molecules.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will curate training and evaluation data, build evaluation metrics, and prototype generative models for protein design. You will analyze model improvements, maintain ML infrastructure, plan wet-lab testing campaigns, run inference against biological targets, and use experimental feedback to improve models.
Requirements
- Generative modeling
- Machine learning research
- Machine learning development
- Version control
- Code review
- Cloud hardware training and inference
- Parallel data and model processing across accelerators
- Machine learning data pipeline
- Data analysis
- Dataset splitting
- Deep learning performance optimization
Responsibilities
- Curate training and evaluation data
- Build ML evaluation metrics aligned with real-world success
- Prototype generative models and analyze improvements
- Maintain high code standards in a shared codebase
- Contribute to compute and ML development infrastructure
- Plan wet-lab testing campaigns with the biology team
- Run model inference against biological targets
- Use wet-lab results and feedback data to improve models
- Stay current with machine learning developments
- Build working knowledge of protein and cell biology
- Share knowledge through internal reading groups
- Attend and present at conferences
Benefits
- Private health insurance
- Pension/401(K) contributions
- Generous leave policies including gender-neutral parental leave
- Hybrid working
- Travel opportunities