ML Research Engineer, AI for Life Sciences

Build and scale production-grade machine learning and physics-based models that accelerate drug and materials discovery. Translate research papers into robust scientific code, architect and optimize the codebases powering large quantitative models, and lead benchmarking across complex datasets. Drive the full product lifecycle from prototypes to launch, orchestrating distributed training pipelines on world-class GPU infrastructure while supporting external-facing model products and long-term reliability.