Latent Labs
Member of Technical Staff, Applied AI
San Francisco · Hybrid · Staff · Full-time · Posted Feb 20, 2026
About the job
Develop and deploy generative biology models in pharmaceutical and biotech customer environments, adapting them to customer needs and translating scientific results and feedback into production solutions.
What you'll do
- Deploy and adapt models in customer environments, including model-serving infrastructure, API integrations, and customer-specific data pipelines.
- Partner with pharmaceutical and biotech customers to scope needs, troubleshoot deployments, run model inference, and communicate technical guidance.
- Gather customer feedback and scientific results to inform product, research, and platform teams; create technical documentation.
What they ask for
- Experience in generative modelling and deep understanding of generative model architectures, training dynamics, and inference behaviour.
- Demonstrated contributions to notable ML projects, such as widely used open-source libraries, significant product launches, or high-impact publications.
- Experience building systems that serve large models via APIs, running inference on cloud hardware, and parallelising data and models across accelerators.
- Strong ML development, model performance optimization, and customer-facing communication skills.
Nice to have
- Experience in computational biology or protein design.
- Production enterprise software experience, or a natural science background.
Tools
ML libraries, APIs, cloud hardware, accelerators
AI focus
Apply, deploy, adapt, and fine-tune generative models for biological applications, including inference against biological targets and performance optimization.
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