Key skills
PythonBashAIMachine LearningMLDeep LearningComputer VisionGenerative AIOpenAIAnthropicLangChainPyTorchTensorFlowHugging FaceMLOpsMLflowKubeflowAirflowReactGraphQLUnit TestingAWSAzureGCPDockerSageMakerRESTfulGitCI/CDCommunication
About this role
At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
Data Scientist Computer Vision
Bayer is looking for a talented Data Scientist with deep learning and machine learning expertise focused on image-based data to help shape the future of agriculture; In this role, you join a dynamic team that supports the development of Bayer Crop Science next-generation products by applying computer vision to automate critical processes across the Plant Biotechnology organization; You work at the intersection of cutting-edge AI and real-world agricultural challenges, collaborating closely with scientists, engineers, and product teams to deliver scalable, production-ready solutions that directly impact innovation and operational excellence across the business.
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role, Data Scientist – Computer Vision, are to:
- Solve real agricultural problems using deep learning and AI across image and other data modalities, translating complex models into tangible business and scientific impact;
- Design and implement end-to-end machine learning pipelines for computer vision use cases, including segmentation, classification, detection, and multi-task learning;
- Prototype, evaluate, and iterate on cutting-edge architectures such as CNNs, Vision Transformers, foundational and large-scale vision models, ensuring state-of-the-art performance;
- Optimize models for accuracy, robustness, and inference efficiency, including experimentation with hyperparameters, compression, and deployment-oriented optimizations;
- Independently build scalable data pipelines for training, validation, and evaluation, including data ingestion, augmentation strategies, and active learning loops;
- Collaborate cross-functionally with product, data, and software engineering teams to integrate models into production systems and deliver reliable, maintainable solutions;
- Contribute to MLOps practices, including model versioning, deployment, monitoring, and retraining workflows using modern tooling and cloud-based platforms;
- Build strong cross-functional relationships and actively engage with the broader Data Science Community to share best practices, align on standards, and co-create innovative solutions;
- Present clear, compelling, and validated stories about experiments, results, and recommendations to peers, senior management, and internal customers to drive strategic and operational decisions.
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
- M.S. with 2+ years of experience or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on machine learning or computer vision;
- Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow;
- Hands-on experience with modern computer vision architectures including models such as ResNet, UNet, DeepLab, YOLO, SegFormer, SAM, and Vision Transformers;
- Strong background in handling large-scale datasets and creating custom datasets, for example using frameworks such as Hugging Face Datasets;
- Solid understanding of core machine learning concepts including loss functions, regularization, optimization, and learning rate scheduling;
- Experience developing and deploying models using cloud-based ML platforms such as AWS SageMaker;
- Familiarity with Unix environments, including bash, file systems, and core utilities;
- Strong engineering practices including use of Git, Docker, CI/CD pipelines, modular codebase design, and unit testing.
Preferred Qualifications:
- Experience with major cloud platforms such as AWS, GCP, or Azure;
- Familiarity with MLOps tools such as DVC, MLflow, Kubeflow, or Airflow;
- Knowledge of generative models, multimodal architectures, vision-language models, or self-supervised learning techniques;
- Experience integrating generative AI frameworks such as OpenAI API, Anthropic, or LangChain into applications;
- Ability to design and maintain RESTful or GraphQL APIs to expose model inference services and data processing pipelines;
- Experience building interactive dashboards using tools such as Dash or React to visualize outputs and monitor model and system performance;
- Strong communication skills, including the ability to tell clear experiment stories, influence stakeholders, and provide mentorship within a technical team.
Employees can expect to be paid a salary between $109,370.40 - $164,055.60Additional compensation may include a bonus or incentive compensation (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This 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 April 28, 2026.
YOUR APPLICATIONBayer 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.