Senior ML Researcher — Domain-Aware & Scientific Modeling

Bayer; United States; Sur place; USD 120 000 - 170 000; Plein temps

Résumé du poste

Bayer seeks a Sr. Machine Learning Researcher to develop domain-aware models for agriculture, fusing biology, genomics and environmental data into interpretable AI. This role advances genomic selection and genome editing in a global crop science context.

It combines applied mathematics, ML theory, and production deployment, requiring collaboration with geneticists, plant biologists, agronomists and software engineers to translate research into scalable pipelines.

Qualifications

• PhD in ML or related quantitative field with strong modeling depth.

Responsabilités

• Scientific ML model development integrating domain knowledge into learning algorithms.

Connaissances

Deep learning

Scientific computing

Genomics data

PyTorch

JAX

TensorFlow

Bayesian methods

Interdisciplinary collaboration

Formation

PhD in Machine Learning

Outils

PyTorch

JAX

TensorFlow

Description du poste

Bayer seeks a Sr. Machine Learning Researcher to develop domain-aware models for agriculture, fusing biology, genomics and environmental data into interpretable AI. This role advances genomic selection and genome editing in a global crop science context.

It combines applied mathematics, ML theory, and production deployment, requiring collaboration with geneticists, plant biologists, agronomists and software engineers to translate research into scalable pipelines.