Full Time

Engineering

We are looking for a highly skilled Software Engineer to build the robust, scalable infrastructure powering our biology platform. 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 architect and maintain the systems that process complex biological data, serve machine learning models, and ensure reliable platform performance at scale.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 backend specialist with deep expertise in

architecting distributed applications.You have a solid understanding of

Python

and hands-on experience with

Kubernetes

and

AWS servicesYou understand

web and service authentication ,

security best practices , and building secure APIsYou have solid knowledge of

HTTP protocols ,

REST APIs , and

websockets

for real-time communicationYou''re experienced in

database management , from design to optimization.What sets you apart

MLOps and model serving expertise : You have experience with

ML serving infrastructure

and understand the unique challenges of serving machine learning models at scaleHigh-performance computing : You understand the computational demands of biological and scientific workloadsData pipeline architecture : You''ve built robust data processing pipelines for large-scale scientific dataCloud infrastructure : Deep experience with AWS services and cloud-native application developmentScientific computing background : Familiarity with the computational requirements of biological research and protein analysisYour responsibilities

Backend architecture : Develop and own all backend components of our platform, ensuring scalability and reliabilityDatabase mastery : Own and manage all aspects of our databases, from schema design to optimization, warehousing, and analyticsPerformance optimization : Optimize performance across the entire backend, ensuring efficient messaging, database queries, caches and horizontal scaling.Infrastructure management : Deploy and maintain distributed applications in

Kubernetes

and

AWSSystem reliability : Write scalable and fault tolerant applications. Ensure reliability through comprehensive testsDevOps collaboration : Work closely with DevOps teams on deployments and infrastructure managementEnsuring observability at scale : Instrument complex distributed applications to allow real-time monitoring, debugging, and performance optimization across microservices, enabling rapid incident detection and resolutionTechnical debt management : Address technical debt and refactor code for long-term maintainabilityApply

We offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe 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.To apply, please fill in our

application form.

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