Software Engineer, Applied ML

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.

This role offers an exciting opportunity to work on a greenfield ML-based software platform that will transform the biopharmaceutical world. You will partner with leading engineers, scientists, and ML researchers to build the critical platform driving that transformation.

Key responsibilities include:

• Designing, developing, training, and evaluating cutting-edge ML models at unprecedented scale
• Applying state-of-the-art ML models and techniques to real-life drug discovery challenges
• Building a world-class ML drug design research environment with scalable software and libraries
• Creating novel instrumental drug discovery tools in partnership with domain experts
• Iterating collaboratively with scientists and domain experts
• Developing tools and libraries for large-scale machine learning experiments
• Maximizing model performance, scalability, and robustness for production use

The ideal candidate will have deep experience with developing large-scale machine learning models, experience with modern ML frameworks, and strong software engineering skills. Knowledge of chemistry, biology, or the pharmaceutical industry is a plus.

Isomorphic Labs values thoughtfulness, bravery, determination, and collaboration. We are committed to building an inclusive environment that reflects and serves the populations we aim to help. We offer a hybrid working model, requiring 3 days in the office per week for full-time positions.