Machine Learning Research Software Engineer
6 days ago
Software Engineer (Machine Learning Research Engineering)
Isomorphic Labs is a cutting-edge company that is revolutionizing drug discovery through a computational- and AI-first approach.
Job Summary
We are seeking a highly skilled Software Engineer to join our team and contribute to the development of a transformative ML-based software platform that will revolutionize the biopharmaceutical industry.
Key Responsibilities
- Partner with the 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.
Requirements
- Strong experience with developing large-scale machine learning models.
- Extensive programming experience using 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.
- 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 or a related technical field, or equivalent practical experience.
- Interest in chemistry and biology.
- Experience working with biomedical data.
- Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery.
What We Offer
At Isomorphic Labs, we are committed to building an equal and inclusive team. We offer a hybrid working environment, with the option to work from home or in the office. We are an equal opportunities employer and welcome applications from diverse candidates.
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