Job Description

Software Engineer (Machine Learning Research Engineering), London

We are looking for engineers with different levels of experience - Mid through to Senior, Principal, Staff or equivalent levels.

Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach. We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll be working at the cutting edge of the new era of 'digital biology' to deliver a transformative social impact for the benefit of millions of people.

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

Your impact

This is an exciting opportunity for you to work on a greenfield ML-based software platform that will transform the biopharmaceutical world as we know it.

Working in a highly creative, iterative environment, you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation. This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve out your contribution.

What you will do

• Partner with the ML Research, Drug Design, and Data Engineering teams to design, develop, train, and evaluate a variety of cutting edge ML models at unprecedented scale.
• Build a world-class ML drug design research environment with scalable software and libraries.
• Develop tools and libraries to enable large-scale machine learning experiments across thousands of accelerators.
• Maximise model performance, scalability, and robustness for production use within our computational platform.
• Create novel instrumental drug discovery tools in partnership with domain experts. Take end-to-end ownership from rapid prototyping to production-quality code.
• Iterate collaboratively with scientists and domain experts to deeply understand feature requirements and user feedback.

Skills and qualifications

Essential

• Strong experience with developing large-scale machine learning models.
• Extensive programming experience using any mainstream programming languages, including strong Python experience.
• Experience with modern ML frameworks including at least one of JAX, PyTorch or TensorFlow.
• Experience with the full ML research and development lifecycle.
• Experience partnering with research and product teams to prototype and ideally productionise ML models.
• Strong software engineering experience with software design / architecture skills.
• Strong understanding of ML theory and applications.
• Strong understanding of data structures and algorithms.
• Either a Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.

Nice to have

• Interest in chemistry and biology.
• Experience working with biomedical data.
• Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery.
• Experience developing user facing production code.