Machine Learning Engineer (all genders), Monheim (hybrid)

Machine Learning Engineer (all genders), Monheim (hybrid)

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'.

Bayer is looking for a highly motivated Machine Learning Engineer for a 12-month fixed-term position within our Crop Science research environment. The role sits at the intersection of advanced computational methods and scientific discovery, supporting innovative data-driven initiatives across multidisciplinary teams.

You will work on developing and applying modern machine learning approaches to complex internal datasets, contributing to projects that aim to enhance research efficiency and insight generation. The position offers a unique opportunity to collaborate closely with scientists from experimental laboratories and translate real-world scientific challenges into computational solutions.

Your Tasks And Responsibilities

• Design, implement, and optimize machine learning models using Python
• Work with large, complex, and heterogeneous datasets in a research setting
• Review, interpret, and reproduce methods from scientific literature
• Collaborate with cross-functional stakeholders, including experimental scientists, to understand data generation processes and research needs
• Communicate technical findings clearly to both technical and non-technical audiences
• Contribute to best practices in code quality, reproducibility, and documentation

Who You Are

• University degree in Computer Science, Data Science, Bioinformatics, or a related quantitative field
• Strong programming skills in Python e.g., NumPy, pandas, PyTorch/TensorFlow or similar
• Solid understanding of machine learning principles and model development workflows
• Familiarity with deep learning or advanced modelling approaches is a plus
• Demonstrated ability to read and implement methods from scientific publications
• Interest in working at the interface of computational and experimental research
• Strong problem-solving skills and attention to detail
• Effective communication skills and ability to collaborate in interdisciplinary teams

Benefits

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!

• We ensure your financial stability with a competitive salary between 5.426,00€ and 5.913,00€ per month (full-time) plus annual bonus, holiday bonus, and Christmas bonus/13th-month salary.
• Whether it's hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.
• We support your growth through access to professional development and learning opportunities.
• We promote health awareness and self-care.
• We encourage sustainable mobility by providing climate-friendly transportation options.
• As one of our perks, our Corporate Benefits program grants you access to sales discounts from more than 150 brands.
• We embrace diversity by providing an inclusive work environment.

Contract Details

This is a fixed-term contract. The position is limited to 12 months, is full-time and located in Monheim, Germany.

Location: Monheim Division: Crop Science Reference Code: 871089