Member of Technical Staff
Latent Labs7 months ago
San Francisco, CA, USAMid Level / Senior
Responsibilities
- Build machine learning models that work in the physical world.
- Contribute to the curation of training and evaluation data.
- Propose and build ML evaluation metrics aligned with company goals.
- Quickly prototype generative models and analyze improvements.
- Collaborate with research scientists and engineers in a joint codebase.
- Maintain compute and ML development infrastructure.
- Plan wet lab testing campaigns with the bio team.
- Learn from wet lab results and provide feedback to models.
- Stay updated on the latest developments in ML.
- Gain understanding of protein and cell biology.
- Participate in knowledge sharing and present at conferences.
Requirements
- Strong experience in machine learning and generative modeling.
- Proven track record in notable ML projects and publications.
- Experience in building ML data pipelines for deep learning models.
- Ability to write robust, maintainable ML code.
- Experience with cloud hardware and parallelizing data/models.
- Passion for optimizing model performance and understanding ML libraries.
- Experience in computational biology or protein design is a plus.
- Academic background in physics, biology, chemistry, or related fields.
Benefits
- Private health insurance.
- Pension/401(K) contributions.
- Generous leave policies including gender neutral parental leave.
- Hybrid working arrangements.
- Travel opportunities.
Categories
About Latent Labs
Latent Labs builds generative AI and foundational models to make biology programmable, enabling design and optimization of proteins, antibodies, enzymes, and genetic constructs for pharma, biotech, and synthetic biology teams. It works with partners to co-develop candidates and provide model access with wet-lab validation through research collaborations and licensing. The company is privately held and raised a Series A in 2025.