Opportunity AI Research work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
aimlroles

Computer Vision and Data Analysis Co-Op

Bayer bayer.com Open · verified Nov 1, 2026
Chesterfield Junior AI Research

At a glance

Junior AI Research role at Bayer. Chesterfield.

Pay not stated AI Research salary

RoleAI Research
SeniorityJunior
LocationChesterfield
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Interpret imagery and measurements from field trials with computer vision and machine learning methods
  • Work with field testing and data science colleagues to use phenotyping findings in analysis and model building
  • Use UAV, remote-sensing and hands-on field observations to inform experimental design
  • Find ways to improve systems and workflows when addressing large-scale data challenges

What you bring

  • You are enrolled in a relevant master's or doctoral program, such as data science, crop science or another listed discipline
  • You can code in Python and have used a deep learning framework such as PyTorch, TensorFlow or JAX
  • You understand machine learning fundamentals, including loss functions, regularization, optimization and learning-rate scheduling
  • You are familiar with agricultural research, field trials and the basics of remote sensing

Who this fits

This co-op suits a graduate student combining computer vision and data analysis with agricultural field research. The role uses a hybrid model at the Chesterfield, Missouri facility and involves regional travel to nearby Illinois field sites, with possible trips elsewhere in the Midwest and Midsouth.

From the employer

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

The primary responsibilities of this role include:

  • 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

YOUR APPLICATION

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders. Bayer is an E-Verify Employer. Location: United States : Missouri : Chesterfield Division: Crop Science Reference Code: 883370 Contact Us Email: hrop_usa@bayer.com
Opportunity

AI Research work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

AI Research

Find me work

By the team behind aimlroles.

Find me work
Opportunity

AI Research work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.