Machine Learning Scientist

Bayer•Tulsa, OK

1d•Remote

About The Position

At Bayer Crop Science, you have the opportunity to transform how we steward innovation in plant breeding through the power of machine learning. As a Machine Learning Scientist focused on Quality, Stewardship, and Compliance (QSC), you lead the development and execution of a strategic framework that enhances quality, compliance, and stewardship across Bayer Plant Breeding. In this role, you drive high-impact initiatives in close partnership with Global Stewardship representatives, ensuring alignment with organizational standards and regulatory expectations. You collaborate extensively across functions and with ML, IT, and data stewardship teams to design and refine digital systems and analytical methods that streamline stewardship program management for Bayer Plant Breeding. You develop innovative, data-driven solutions and visualizations that strengthen program efficiency and promote consistent adoption of internal policies and external regulatory guidance.

Requirements

Bachelor’s degree in a relevant field with strong grounding in Machine Learning, with an emphasis on plant breeding preferred
Demonstrated experience conducting research and contributing to research projects, technologies, publications, intellectual property, or trade secrets
Demonstrated experience with open-source deep learning frameworks such as TensorFlow and/or PyTorch, and strong competency in Python as a programming language
Demonstrated experience with large language models (LLMs) and retrieval-augmented generation (RAG) approaches
Demonstrated experience with SQL and data visualization tools such as Spotfire and Power BI
Direct knowledge regarding the implementation of deep learning techniques, including Transformers
Experience with backend and API development
Experience and proficiency working with high-dimensional data

Nice To Haves

Ph.D. with a minimum of 3 years of relevant experience
M.S. with a minimum of 5 years of relevant experience
B.S. with a minimum of 7 years of relevant experience

Responsibilities

Report to the Quality, Stewardship, and Compliance Lead
Design and implement scalable tools and services for machine learning training and inference while selecting suitable cloud and on-premises infrastructure for production-level machine learning models
Play a hands-on role in building interpretable ML products while incorporating suggestions from plant breeders, laboratory experts, and stewardship experts
Support and develop data visualizations to streamline and improve efficiency of Bayer’s Plant Breeding pipeline
Query Bayer Crop Science data to provide support and insight for incident management and process improvements
Leverage ML techniques to optimize and automate current QSC processes
Proactively leverage data and build insights to identify opportunities within QSC workflows that improve delivery (cost, timeline, etc.) for Bayer’s Plant Breeding
Implement data quality checks, security measures, and governance standards to ensure accuracy and reliability