Machine learning scientist Jobs in Bad Hönningen

Company Description

Today, we are not utilizing resources in a sustainable way. In fact, the world is only 9% circular, meaning much of the Earth’s precious resources are only used once, leaving huge untapped potential for more sustainable resource management. TOMRA provides cutting-edge solutions for optimal resource productivity within the recycling, mining and food industries and is therefore uniquely positioned to shape the Circular Economy, creating demand for this way of thinking in the world. At TOMRA we want to be a thought leader, encouraging a more sustainable way of thinking and inspiring active change around the world.

TOMRA Recycling is a global leader in the field of automated sensor-based waste sorting, also being a pioneer in its field - currently TOMRA Recycling has an installed base of close to 6,460 units across more than 40 markets.

With our deep application knowledge, powerful machine learning software and a variety of in-house developed sensors we offer our customers state-of-the-art, high-performance sorting solutions for maximum purity and yield.

At TOMRA, we want people to innovate, show passion in their work and be responsible. We encourage the freedom to innovate and take risks that result in breakthroughs that challenge the status quo. We value passion that focuses and commits to meeting success. We believe in a responsible and safe mindset that takes care of our customers, products, and fellow employees.

Join the Resource Revolution!

Job Description

Are you passionate about pushing the boundaries of software performance? Do you thrive on optimizing code for low latency and high throughput?

We're seeking a skilled AI Inference Engineer to join our MLOps team and help revolutionize material sorting technology. As part of this cross-functional team your main task will be in providing and maintaining stable inference solutions to our hardware portfolio. The position will be a corner stone for a closed AI loop and deep integration into business processes to deliver value for our customers.

Key Responsibilities :

• Develop and maintain high-performance C++ software for our sorting machines.
• Support the development of a cross-platform inferencing engine for edge computing.
• Optimize code for various GPU and embedded systems.
• Collaborate with cross-functional teams to integrate machine learning models into our sorting systems.
• Implement efficient inter-process communication for distributed computing tasks.
• Continuously improve system performance, focusing on low latency and high throughput.
• Participate in code reviews and contribute to best practices and coding standards.

Qualifications

Additional Information

Your benefits

Are you interested?

Please send your CV in English.

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