Principal, AI Engineering for Discovery
Core
Lead engineering to turn AI research into robust, secure products and platforms that accelerate new medicine discovery for scientists.
Role type
Principal AI Engineering Lead (Discovery)
Builds
Scalable AI platforms, reproducible ML workflows, and production-ready systems for drug discovery.
Domain
Pharmaceutical / Life Sciences / AI Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, PyTorch, Numpy, Pandas, distributed training optimization, MLOps, CI/CD, cloud-native deployment (AWS/GCP/Azure), software architecture, mentoring
Preferred skills
LLM/Generative AI at scale, Kubernetes, Infrastructure as Code, pharmaceutical domain knowledge, regulatory environment experience
Technologies
PyTorch, Numpy, Pandas, GitHub Actions, AWS, GCP, Azure, Kubernetes
Responsibilities
Provide technical leadership for AI platform and product engineering; Engineer research prototypes into secure, scalable products; Develop and optimize ML training and inference workflows; Own software engineering standards and testing; Use MLOps automation to improve delivery; Partner with researchers to translate scientific needs; Mentor engineers and promote responsible AI practices
Seniority
Principal, hands-on IC with strategic leadership