AI/ML Engineer
Core
Engineer agentic systems and machine learning models to elucidate molecular mechanisms of disease and accelerate new therapy development using frontier models and multiomics datasets.
Role type
Senior IC machine learning engineer (biopharma/genomics)
Builds
AI/ML products and agentic systems for drug design and disease modeling
Domain
Biopharma, genomics, molecular biology, medicinal chemistry
Deliverable
production ML models
Required skills
LLM agents and agentic workflow design, deep learning frameworks (PyTorch, TensorFlow), Python, Git/SQL/shell scripting, machine learning best practices
Preferred skills
Biomedical datasets experience (genomics, transcriptomics, proteomics, EHR), open-source contributions, metrics-first engineering mindset
Technologies
PyTorch, TensorFlow, Python, Git, SQL, LLMs
Responsibilities
Design and engineer agentic systems, build ML models on multiomics data, apply ML best practices, ship high-quality production code
Seniority
Senior, hands-on IC
