Research Engineer, Life Sciences
Core
Develop novel evaluation frameworks and training strategies to push the frontier of AI in biology, working at the intersection of machine learning engineering and biological sciences.
Role type
Research Engineer (Life Sciences)
Builds
AI systems for research and development phases in life sciences
Domain
Life Sciences / Machine Learning
Deliverable
production ML models
Required skills
training and evaluating large language models, Python, building and managing data pipelines for large-scale datasets, navigating ambiguity in research environments
Preferred skills
8+ years of machine learning experience, prior work in AI and biology, experience with large-scale biological datasets, published research in scientific AI, reinforcement learning, pretraining, containerization technologies, cross-domain work in scientific computing
Technologies
Docker, Kubernetes
Responsibilities
Develop rigorous methods to measure and improve model performance on complex scientific tasks, collaborate with researchers and engineers to build AI systems for all phases of research and development
Seniority
Senior, hands-on IC