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.

About Iso
Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold 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.

Your impact
Reporting directly to the VP of Engineering, you will be responsible for the strategic direction, execution, and operational excellence of our Platform teams, which are enabling training and serving of the largest foundations models in biotech. These teams include Technical Infrastructure, Training, Inference, Research Platform and Inference Platform. This is a highly influential role that requires a blend of deep technical expertise, strong leadership capabilities, and a passion for fostering a high-performance engineering culture.

What you will do

• Define and execute the long-term vision and strategy for our foundational infrastructure, aligning with company goals and anticipating future needs.
• Lead, mentor, and inspire a diverse team of engineering managers and individual contributors across multiple disciplines (ML Platform, Tech Infrastructure & Training and Inference).
• Oversee the development and evolution of our core platform, ensuring it provides robust, scalable, and developer-friendly services for all engineering teams.
• Lead the teams responsible for building and maintaining the underlying systems that power our user-facing applications, focusing on performance, reliability, and seamless user experiences.
• Guide the development and operation of the infrastructure supporting our prediction models, ensuring high availability, low latency, and efficient data processing for machine learning initiatives.
• Drive the strategy and execution for our core technical infrastructure, including networking, compute, storage, and data centers (on-prem and/or cloud).
• Establish and enforce best practices for infrastructure operations, including monitoring, alerting, capacity planning, disaster recovery, and security.
• Partner closely with product engineering teams, security, data science, and other stakeholders to understand their needs and deliver foundational solutions.
• Manage the budget for the Foundations Engineering organization, optimizing resource allocation and identifying cost-saving opportunities.

Skills and qualifications
Essential:

• Experience in software engineering, with a significant portion focused on ML infrastructure, platform, or site reliability engineering.
• Demonstrated experience in a leadership role, managing multiple engineering teams and managers.
• Deep understanding of distributed systems, cloud architectures (AWS, Azure, GCP), and modern infrastructure technologies.
• Proven experience with running horizontal Platform Engineering teams.
• Strong background in Site Reliability Engineering (SRE) principles and practices.
• Familiarity with data infrastructure and systems supporting machine learning/prediction models.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Nice to have:

• Experience in a high-growth, fast-paced environment.
• Experience building and scaling infrastructure for Biotech or Life science.

Hybrid working
It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in).

We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition or any other basis protected by applicable law.