The opportunity We are looking for a Member of Technical Staff with deep expertise in generative modelling to work at the interface between our frontier models and the customers who depend on them. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role you will develop an in-depth understanding of our proprietary generative models and apply that knowledge to deploy, adapt and optimise them within customer environments - particularly in the pharmaceutical and biotech sectors.

This is a hybrid role. You will need a researcher’s depth of understanding of our models, combined with the pragmatism and communication skills to translate that understanding into production systems that deliver scientific value for our partners.

Who We Are At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.

Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.

We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

Who You Are

• You are a strong ML researcher with experience in generative modelling. You have worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues. You have a deep understanding of generative model architectures, training dynamics and inference behaviour.

What Sets You Apart (preferred, Not Required)

• You have experience in computational biology or protein design. You have worked on ML-driven projects in biology and understand the unique data challenges, evaluation paradigms and scientific workflows of biological modelling.
• You have built production enterprise software. You have experience delivering software that meets enterprise-grade requirements for security, compliance, auditability and uptime.
• You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields, giving you an intuitive understanding of the scientific problems our customers are solving.

Your Responsibilities Develop, deploy and adapt our models for customer environments:

• Develop a deep working understanding of our generative models - their architectures, training data, capabilities and limitations.
• Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.
• Drive the end-to-end technical deployment of Latent Labs models into customer environments, designing production-grade API integrations and model-serving infrastructure.
• Adapt and fine-tune models to meet specific customer requirements, collaborating closely with our research team to ensure scientific rigour.
• Build ML data pipelines for customer-specific inference, evaluation and feedback workflows.
• Ensure deployments meet customer standards for security, performance and reliability.

Customer partnership & product feedback:

• Work embedded with pharmaceutical and biotech partners to scope technical requirements, troubleshoot issues and deliver solutions.
• Serve as the technical point of contact for assigned customers, building trusted relationships with their scientific and engineering teams.
• In collaboration with customer biology teams, plan and carry out model inference against biological targets. Quickly learn from results and feed insights back to our models.
• Gather and synthesise customer feedback, translating it into actionable insights for our product, research and platform teams.
• Create technical documentation, integration guides and best-practice resources.
• Spend time working on-site at international partner locations as needed.

Self development:

• Stay on top of the latest developments in ML, model serving and cloud-native tooling.
• Gain a strong working understanding of protein and cell biology.
• Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.
• Participate in knowledge sharing, e.g. organise and present at our internal reading group.
• Attend and present at conferences.

Apply We offer strongly competitive compensation and benefits packages, including:

• Private health insurance
• Pension contributions
• Generous leave policies (including gender neutral parental leave)
• Hybrid working
• Travel opportunities and more

We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.

We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.