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YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role are to: 

• 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, biotic, and abiotic responses;
• Communicate results in a timely and organized fashion to project team and key stakeholders through scientific reports and presentations;
• Solve complex problems autonomously requiring original thinking, creativity, and deductive reasoning and the applicationof scientific principles on the design and interpretation of scientific experiments;
• May be responsible for performing multiple experimental protocols under supervision;
• Prioritize and coordinates work within a matrixed testing environment maintaining detailed record keeping and required documentation.;
• Achieves commitment to safety and compliance, adhering to safety protocols and best practices.?

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required 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

Preferred Qualifications:

• Previous experience with cloud platforms for model deployment, including AWS, Google Cloud, or Azure;
• Experience using computer modelling techniques for plant development and imaged-based plant phenotyping, ? Implementation of machine learning and statistical models to identify or evaluate biotic and/or biotic stresses in plants. ?

To apply please click on APPLY TO THIS POSITION