remote
Senior Machine Learning Engineer, AI Enablement - Genentech
ML Engineer
Lead the design, development, and deployment of advanced ML models to accelerate drug discovery, leveraging Python, deep learning frameworks, and cloud infrastructure to transform biomedical data into actionable insights.
About the role
Key Responsibilities
- Architect and implement end‑to‑end ML pipelines for large biomedical datasets, from data ingestion to model deployment.
- Collaborate with cross‑functional teams to translate scientific questions into scalable ML solutions.
- Optimize models for performance, reproducibility, and regulatory compliance in a life‑sciences context.
- Maintain and extend cloud‑based infrastructure (AWS) for training, inference, and data storage.
- Mentor junior engineers and contribute to best‑practice guidelines for ML in pharma.
Requirements
- 10+ years of experience in machine learning, with a strong background in deep learning and statistical modeling.
- Proficiency in Python, TensorFlow/PyTorch, and data engineering tools.
- Hands‑on experience deploying models on AWS (SageMaker, ECS, Lambda).
- Excellent communication skills and ability to work in a collaborative, interdisciplinary environment.
- PhD or equivalent advanced degree in a quantitative field is highly desirable.
Skills
pythonmachine learningdeep learningtensorflowpytorchaws