Computer Vision and Data Analysis Co-Op

Bayer; Chesterfield (MO); On-site; USD 32,000 - 66,000; Full time

Benefits offered by this job

Health care

Vision

Dental

Retirement plan

PTO

Sick leave

Job summary

Bayer CropScience Limited seeks a Computer Vision and Data Analysis Co-Op in Chesterfield, MO, blending field trial data with digital phenotyping. Hybrid role with collaboration across Field Testing, Data Science, and Computer Vision teams.

The incumbent analyzes imagery and metrics, contributes to model development, and supports experimental design using UAV and remote sensing insights. Travel to nearby sites may be required as part of the role.

Qualifications

• Active MS or PhD candidate in data science, precision agriculture, or related fields.
• Proficient in Python; experience with PyTorch, TensorFlow, or JAX.
• Strong foundations in core ML concepts (losses, regularization, SGD/Adam).
• Familiarity with agricultural field trials and remote sensing.

Responsibilities

• Analyze and interpret imagery and metrics from field trial data using ML and CV techniques.
• Collaborate with Field Testing and Data Science teams to integrate insights into models and analyses.
• Support experimental design by integrating field assessments (UAV, remote sensing).
• Contribute to system and workflow improvements for large-scale data challenges.

Skills

Python

PyTorch

TensorFlow

JAX

Machine learning

Remote sensing

Collaborative work

Education

MS/PhD candidate in data science or related

Tools

Hugging Face Datasets

AWS/GCP/Azure

Job description

Computer Vision and Data Analysis Co-Op

In this role, you will analyze and summarize data generated from field trials through digital phenotyping, applying modern computer vision and machine learning methods to support decision‑making and identify opportunities for system and process improvements in collaboration with Field Testing, Data Science, and Computer Vision teams.

This position is based on a hybrid work model at the Bayer Crop Science facility in Chesterfield, Missouri. Regional travel includes nearby field testing sites in Illinois, with potential travel to other Midwest and Midsouth locations.

YOUR TASKS AND RESPONSIBILITIES

• Analyze and interpret imagery and metrics generated from field trial data using advanced machine learning and computer vision techniques;
• Collaborate closely with Field Testing and Data Science partners to integrate digital phenotyping insights into data analysis and model development;
• Support experimental design by integrating insights from field assessments (UAV, remote sensing, and manual methods);
• Contribute to system and workflow improvements by applying creativity and problem‑solving to large‑scale data challenges.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Active M.S. or Ph.D. candidate in a relevant discipline (data science, precision agriculture, agricultural engineering, plant physiology, crop science, entomology, weed science, or pathology);
• Proficiency in Python and experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX;
• Solid understanding of core machine learning concepts (loss functions, regularization, optimization methods such as SGD/Adam, and learning rate scheduling);
• Familiarity with agricultural research and field trial methodologies;
• Basic knowledge of remote sensing technologies;
• Ability to work collaboratively across areas of expertise.

Preferred Qualifications:

• Hands‑on experience with modern architectures such as ResNet, UNet, DeepLab, YOLO, SegFormer, SAM, and Vision Transformers;
• Experience with creating and managing large‑scale datasets, including the use of tools like Hugging Face Datasets;
• One to two years of UAV imaging experience;
• Strong analytical and problem‑solving skills;
• Experience with cloud platforms (AWS, GCP, or Azure);
• FAA Part 107 license to operate UAVs, or ability to obtain before the start date.

Employees can expect to be paid a salary of approximately between $22.75 to $47.75. Additional compensation may include a bonus or commission (if relevant). Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc (if relevant). This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least March 19, 2027

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is an E-Verify Employer.

Location: United States : Missouri : Chesterfield

Division: Crop Science

Reference Code: 883370

Contact Us

Email: [e-mail]