Deep Learning Plant Phenotyping Co‑Op (ML & CV)

Bayer AG; Chesterfield (MO); On-site; USD 31,000 - 66,000; Full time

Job summary

Bayer AG is seeking a candidate pursuing a Master’s or Ph.D. in CS/EE or agricultural science with a focus on computer vision or ML to develop and optimize deep learning methods for plant phenotyping. You will work with imaging and sensor data to derive actionable insights and support data-driven decisions.

The role emphasizes collaboration across teams, experimental design, and reporting results. Familiarity with AWS or cloud deployment is a plus, and safety/compliance are prioritized

Qualifications

• Enrollment in a master’s or Ph.D. program in Computer Science, Electrical Engineering, or an agricultural science program with a focus on computer vision or machine learning.
• Solid foundation in Python programming and familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Experience with model architectures and tools including ResNet, YOLO, R-CNN, DeepLab, GANs, VAEs, and Transformers.
• Experience with hardware and sensing platforms such as RGB-D cameras, LiDAR sensors, robotics, and other imaging or phenotyping systems.

Responsibilities

• Implement and optimize deep learning and machine learning algorithms, leveraging generative models for actionable insights and solutions.
• Evaluate needs, recommend experiments and projects, advocate for novel algorithmic pursuits, and inform strategic decisions.
• Utilize imaging and sensor technologies to collect and analyze phenotypic data, such as plant growth, plant development, and biotic and abiotic responses.
• Communicate results in a timely and organized fashion to project teams and key stakeholders through scientific reports and presentations.
• Solve complex problems autonomously requiring original thinking, creativity, and deductive reasoning, and apply scientific principles to the design and interpretation of scientific experiments.
• Perform multiple experimental protocols under supervision, as needed.
• Prioritize and coordinate work within a matrixed testing environment while maintaining detailed record keeping and required documentation.
• Demonstrate strong commitment to safety and compliance by adhering to safety protocols and best practices.

Skills

Python

TensorFlow

PyTorch

ResNet

YOLO

R-CNN

DeepLab

GANs

VAEs

Transformers

RGB-D cameras

LiDAR

Robotics

Education

Enrollment in a master’s or Ph.D. program in Computer Science, Electrical Engineering, or agricultural science with focus on computer vision or machine learning

Tools

TensorFlow

PyTorch

Job description

Bayer AG is seeking a candidate pursuing a Master’s or Ph.D. in CS/EE or agricultural science with a focus on computer vision or ML to develop and optimize deep learning methods for plant phenotyping. You will work with imaging and sensor data to derive actionable insights and support data-driven decisions.

The role emphasizes collaboration across teams, experimental design, and reporting results. Familiarity with AWS or cloud deployment is a plus, and safety/compliance are prioritized