Drive innovative AI solutions in drug discovery as a Staff ML Research Engineer. Spearhead the transition from theoretical research models to practical applications in the biopharma space.

In this influential role, you will manage the entire lifecycle of ML development, transforming high-impact prototypes into reliable products. Your tasks include architecting scalable algorithms, facilitating distributed training on advanced GPU systems, and ensuring the integration of cutting-edge computational techniques into real-world applications.

Key Responsibilities: • Architect robust ML algorithms from scholarly research • Lead complex dataset integration into simulation frameworks • Implement optimizations for distributed GPU ML models • Manage product lifecycle ensuring technical excellence

Requirements: • MSc (preferably PhD) in Computer Science or related field • At least 5 years of experience in software for ML • Experience with distributed systems (e.g., Tenso...