AIML Engineer, AI for Science
Core
Develop and validate machine learning models and agentic systems to solve real-world scientific problems in drug discovery and biomedical research.
Role type
Senior IC AI/ML Engineer (AI for Science)
Builds
Production AI/ML models and agentic systems for scientific tasks
Domain
Biopharma / Computational Biology / Machine Learning
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch, JAX, TensorFlow), Python, software engineering best practices (CI/CD, containerization), machine learning literature knowledge, data processing for ML
Preferred skills
LLMs and Agentic AI, open-source contributions, scientific publications in AI/ML, knowledge of disease/molecular biology, experience with biomedical data (genomics, EHR, clinical images)
Technologies
PyTorch, JAX, TensorFlow, Python
Responsibilities
Design and implement AI/ML-driven solutions throughout the model development life cycle; Research and develop state-of-the-art machine learning models and agentic systems; Deliver robust, tested, and high-performance code; Liaise with biology and medicine experts for optimal data collection and processing
Seniority
Senior, hands-on IC
