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Senior Machine Learning Researcher - Domain Aware Modeling & Scientific Machine Learning - Bayer
ML Engineer
Lead cutting‑edge research in domain‑aware scientific machine learning, developing advanced models that integrate domain knowledge with data‑driven techniques. Drive innovation using Python, TensorFlow, and statistical methods to solve complex scientific problems.
About the role
Key Responsibilities
- Design, implement, and evaluate machine learning models that incorporate domain knowledge for scientific applications.
- Collaborate with cross‑functional teams to translate research findings into scalable solutions.
- Publish research in peer‑reviewed journals and present at conferences.
- Mentor junior researchers and contribute to a culture of continuous learning.
- Stay current with emerging ML techniques and integrate them into ongoing projects.
Requirements
- Ph.D. in Computer Science, Statistics, or a related field with a focus on machine learning.
- Extensive experience in scientific machine learning and domain‑aware modeling.
- Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Strong statistical analysis skills and experience with large scientific datasets.
- Excellent communication skills and a track record of publishing research.
Skills
machine learningpythontensorflowdata analysis