Software Engineer; Inference Platform

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.

The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.

Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.

The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.

Isomorphic Labs (Iso Labs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning Alpha Fold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.

Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases.

We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.

Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.

This is a great opportunity to play a defining role in building and operating our inference platform. You will connect deep expertise in distributed systems programming with hands‑on knowledge of operating Kubernetes‑based platforms according to best practices, all while supporting the platform in production. You will be instrumental in serving cutting‑edge machine learning models at massive scale for scientific applications, often requiring you to think from first principles.

Success in this role demands excellent technical skills, independence, strong ownership, and a relentless user‑focus.

• Contribute to the development and operation of the inference platform, serving fleets of cutting‑edge machine learning models to scientific applications.
• Deliver high‑quality and well‑tested user‑focused features.
• Provide support to users of the platform.
• Perform maintenance work and drive internal tech investments for platform stability, reliability and scalability.
• Build observability and alerting mechanisms for the platform.
• Improve the Continuous Integration/Continuous Deployment (CICD) setup of the platform.
• Operate effectively in a fast‑paced and ambiguous environment, ensuring independent delivery.
• Provide great documentation and guidance for other contributors and users.

• Experience writing and maintaining Python code in production environments, with an emphasis on concurrent programming (with a strong knowledge of async, threads, processes, GIL, etc).
• Experience building, maintaining and operating Kubernetes services.
• Experience working with distributed systems.
• Experience maintaining APIs that serve a moderately large set of internal users.
• Experience working with ML models; an understanding of ML lifecycle and how serving and operating ML models differs from other kinds of workloads.

• Experience working on an inference platform.
• Experience managing a fleet of ML models.
• Experience building and maintaining CI/CD processes for complex systems.
• Experience with GCP or other comparable clouds.
• Experience with building internal and user‑focused dashboards.

Thoughtful

Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and…