Latent Labs

You'll partner with hiring managers to build the **San Francisco team** at a leading AI-powered biology startup, shaping hiring processes and pipelines for technical, scientific, and operations roles. Your core impact will be identifying and closing exceptional candidates across AI, biology, and engineering to support **our moonshot mission**. This role offers the chance to define US hiring practices while working with some of the brightest minds in generative AI and biology.

You'll lead **lab platform strategy** and oversee a team of scientists at the interface of **generative AI and synthetic biology**. You will drive automation and integration with AI workflows to build toward a **fully autonomous lab**.

You'll drive **strategic pharma partnerships** and scale commercial relationships for a frontier AI-biotech company. You'll own the full deal process from outreach to signed agreements, shaping **modular deal structures** that balance risk and growth. Your work will directly enable the company's **moonshot mission in generative biology**.

You'll join an interdisciplinary team of machine learners, protein engineers and biologists, deploying and optimizing generative models for pharmaceutical and biotech partners. You'll develop a deep understanding of frontier models and translate that into **production-grade deployments** that deliver scientific value. This hybrid role combines **researcher-level model expertise** with **customer-facing pragmatism**.

You'll join a team building generative AI models for biology, co-founded by AlphaFold developers. You will develop and execute high-throughput screening assays to characterize novel proteins designed by our proprietary models. This role offers a chance to shape a cutting-edge biotech company at the intersection of AI and biology.

You'll join an interdisciplinary team building **generative models** to design functional proteins, impacting **cure discovery** for diseases. You'll architect novel models and contribute to **wet lab testing campaigns**.

You'll design proteins using **generative AI models** and **synthetic biology** at Latent Labs, working at the interface of ML and experimental validation. You'll play a key role in a team that co-developed **AlphaFold** and latent diffusion.

You'll join a team at the interface of **generative AI** and **synthetic biology**, designing proteins using frontier models and experimental validation. You'll generate insights to improve protein functionality and operate between machine learning and lab units. This role offers the chance to work with the team behind AlphaFold and shape a growing organization.

You'll architect novel generative models to design functional proteins within an interdisciplinary team. Your core impact is advancing **generative modeling** to enable **wet lab validation** of new proteins. You'll also contribute to **data pipelines** and model optimization.

You'll serve as the critical bridge between Latent Labs' frontier generative models and pharmaceutical customers, deploying and optimizing our technology within their scientific workflows. You'll own the full lifecycle of customer deployments from technical scoping to production-grade delivery. You'll work with a team that co-developed **AlphaFold** and **invented latent diffusion** to solve real-world problems in drug discovery.

You'll work at the interface between frontier generative models and customer deployments, collaborating with an interdisciplinary team of machine learners, protein engineers and biologists. You'll develop deep expertise in our proprietary models to deploy, adapt, and optimize them for pharmaceutical and biotech partners. This **hybrid role** combines researcher-level model understanding with the pragmatism to deliver **production systems** that drive scientific value.

You'll serve as the critical bridge between Latent Labs' frontier generative models and pharmaceutical/biotech customers, deploying and optimizing our technology within their scientific workflows. You'll own the full lifecycle of customer deployments—from technical scoping to production-grade delivery—and act as the voice of the customer back into our product and research teams. This role combines deep infrastructure expertise with a passion for solving real-world problems in **drug discovery** and **protein engineering**.