Member of Technical Staff - ML Engineering

The opportunity

We are looking for a highly skilled machine learning research engineer with significant experience in training and implementing large scale generative models. In this role you will manage our high performance computing environment, and our model serving initiatives. 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

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 Deep Mind’s Nobel-prize winning Alpha Fold, 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.

• Deep experience with Kubernetes and containerized workflows
• Experience with major cloud platforms (AWS, GCP, Azure)
• Knowledge of Dev Ops and related tools (Terraform, etc)
• knowledge of HPC frameworks (Slurm, Ray, etc)
• Production engineering & reliability experience
• PyTorch & distributed computing experience

• Deploy, maintain, and optimize production and research compute clusters
• Design and implement scalable and efficient ML inference solutions
• Develop dynamic / heterogeneous compute solutions for balancing research and production needs
• Contribute to productizing model APIs for external use
• Develop infrastructure observability and monitoring solutions

We offer strongly competitive compensation and benefits packages, including:

• Private health insurance
• Pension/401(K) 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.