Member of Technical Staff Applied AI
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 develop a deep understanding of generative models and deploy, adapt, and fine-tune them for customer environments. You will build production API integrations, model-serving infrastructure, and data pipelines, while partnering with customers to solve technical problems and communicate product feedback.
Requirements
- Generative modeling
- Machine learning research
- Machine learning development
- Version control
- Code review
- API model serving
- Cloud hardware inference
- Parallel data and model processing across accelerators
- Customer-facing technical delivery
- Deep learning performance optimization
Responsibilities
- Develop expertise in generative model architectures, training data, capabilities, and limitations
- Deploy models into customer environments using production-grade API integrations and model-serving infrastructure
- Adapt and fine-tune models for customer requirements
- Build ML data pipelines for customer inference, evaluation, and feedback workflows
- Ensure deployments meet security, performance, and reliability standards
- Scope requirements, troubleshoot issues, and deliver solutions with pharmaceutical and biotech partners
- Serve as the technical point of contact for assigned customers
- Plan and carry out model inference against biological targets
- Gather customer feedback and translate it into actionable insights
- Create technical documentation, integration guides, and best-practice resources
- Work on-site at international partner locations as needed
- Stay current with ML, model serving, and cloud-native tooling
Benefits
- Private health insurance
- Pension contributions
- Generous leave policies including gender-neutral parental leave
- Hybrid working
- Travel opportunities