Engineering Manager; AI Infrastructure

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.

As an Engineering Lead, you will build, grow and lead a talented team of platform engineers and software engineers.

Working closely with the ML Research team, you and your team will develop an infrastructure platform for deploying and scaling cutting‑edge machine learning models and algorithms. You’ll be developing these through all stages from research grade to real world production use in pursuit of groundbreaking bio‑pharmaceutical discoveries.

This newly created role will require you to draw on your extensive experience and offers an exciting opportunity to carve out your contribution in this entrepreneurial environment. This will include working with other Software Engineering Leads to develop a new platform that underpins the company technology and business strategy.

• Create a platform for the ML Research team to conduct and accelerate ground‑breaking research
• Ensure the models meet a high engineering standard with respect to architecture, scalability, maintainability and other operational characteristics
• Partner and collaborate with a diverse set of teams incl. science, research, product, business development and operations
• Build a high performing, nimble team of ML software engineers and platform engineers
• Provide technical leadership to the organisation and own core technical decisions (e.g. choice of tooling, infrastructure, and architectural design)

• Experience building and leading high performing ML platform focused engineering teams of ideally 5+ people
• Strong experience with platform engineering
• Strong foundations in software engineering with previous experience operating as a senior individual contributor with software architecture skills
• Experience with a variety of infrastructure frameworks
• Experience with the full ML development lifecycle
• Experience working with and leading cross functional teams
• Experience partnering with research and product teams
• Experience building secure, scalable and reliable platforms/products on cloud
• Exposure to modern Dev Ops and SRE best practices

Nice to have

• Pharma and/or biotech industry experience, ideally with a focus on drug discovery
• Familiarity with ML accelerator hardware
• Bachelor’s degree in Computer…