Plant Phenotyping ML Engineer

Bayer (Schweiz) AG; Chesterfield (MO); Hybrid; USD 32,000 - 66,000; Full time

Benefits offered by this job

Health care

Vision plan

Dental plan

Retirement plan

PTO

Sick leave

Job summary

Bayer is seeking a candidate in Missouri to advance digital plant phenotyping through deep learning and generative models. You will work on imaging and sensing systems to analyze plant phenotypes and communicate insights to project teams.

The role requires ongoing collaboration, autonomous problem-solving, and adherence to safety and regulatory standards within a Crop Science division environment. Applications close March 19, 2027.

Qualifications

• Enrolled in a master’s or Ph.D. program in CS, 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.
• 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 (plant growth, development, responses).
• Communicate results in a timely and organized fashion via scientific reports and presentations to project teams.
• Solve complex problems autonomously requiring original thinking and apply scientific principles to experiment design and interpretation.
• Perform multiple experimental protocols under supervision as needed.
• Prioritize and coordinate work within a matrixed testing environment while maintaining detailed documentation.
• Demonstrate strong commitment to safety and compliance by adhering to safety protocols.

Skills

Python programming

Deep learning

Education

Master’s or PhD in CS/EE/agricultural science with CV/ML focus

Tools

TensorFlow

PyTorch

ResNet

YOLO

R-CNN

DeepLab

GANs

VAEs

Transformers

Job description

Bayer is seeking a candidate in Missouri to advance digital plant phenotyping through deep learning and generative models. You will work on imaging and sensing systems to analyze plant phenotypes and communicate insights to project teams.

The role requires ongoing collaboration, autonomous problem-solving, and adherence to safety and regulatory standards within a Crop Science division environment. Applications close March 19, 2027.