Software Engineer (ML Research), London at Isomorphic Labs | Torre

Software Engineer (ML Research), London

Emma highlights
This highlight was written by Emma’s AI. Ask Emma to edit it.
Full-time

Legal agreement: To be defined

USD75.4K - 100K/year

~COP150M - 200M/year

+ Equity

+ Bonuses

location_on
Hybrid (London)
Posted almost 3 years ago

Responsibilities


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. 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. We are looking for a Software Engineer with experience in Machine Learning (ML) research to join our team in London. As part of our mission to accelerate drug discovery through computational and AI-first approaches, you will have the opportunity to work on a greenfield ML-based software platform that will transform the biopharmaceutical world. You will partner with ML researchers, drug design experts, and data engineers to design, develop, train, and evaluate cutting-edge ML models at unprecedented scale. Your role will involve building a world-class ML drug design research environment, developing tools and libraries for large-scale machine learning experiments, and creating novel instrumental drug discovery tools in partnership with domain experts. The ideal candidate will have strong experience with developing large-scale machine learning models, modern ML frameworks, and the full ML research and development lifecycle. Additionally, a strong background in software engineering, programming, and a Bachelor's degree in Computer Science or a related technical field is essential. An interest in chemistry and biology, experience working with biomedical data, and knowledge of the pharmaceutical industry are nice-to-have qualifications. If you are passionate about driving groundbreaking innovation in drug discovery and want to be part of an inspiring, collaborative, and entrepreneurial culture, we encourage you to apply for this role. Responsibilities: - Partner with ML Research, Drug Design, and Data Engineering teams to design, develop, train, and evaluate 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. - Maximize model performance, scalability, and robustness for production use within our computational platform. - Create novel instrumental drug discovery tools in partnership with domain experts, taking 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.