AI Engineer

Role: AI Engineer supporting drug discovery through developing and deploying advanced AI models in a collaborative, cutting-edge lab environment. Responsibilities: design, build, evaluate, and optimize AI systems, including large-scale model training, inference deployment, and full-stack application development; collaborate with scientists, engineers, and external partners to shape model design and ensure performance, scalability, and compliance; uphold ethical standards and data security. Requirements: Master’s in Computer Science, Machine Learning, AI, or related field; 4+ years of hands-on experience in machine learning systems development, including deploying models into production; expertise in Python (PyTorch, JAX), distributed GPU training, model optimization, containerization, API design, and cloud platforms (AWS, Azure, GCP). Preferred: C++, CUDA, front-end skills (JavaScript/React). High-value biopharma specifics include supporting AI-driven drug discovery in a highly collaborative, innovative setting at Lilly’s Silicon Valley hub, integrating wet lab data with AI models, and working in a hybrid onsite/remote setup. Work setup: hybrid, with three days onsite and two remote; located in Silicon Valley.