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Tomra

Application Developer, Deep Learning*

location icon Mülheim-Kärlich, Germany
Full Time

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

As an Application Developer of sensor-based sorting applications, you will optimize and test products and technical prototypes of sorting machines which use deep learning technologies. Also, the maintenance in the sense of optimizing the performance of the installed base will be part of this role.

You will work in a dynamic, interdisciplinary team where a strong cooperation with other working groups is required.

Your task

  • Use the sorting platform and tools developed in the deep learning group to investigate possible applications.
  • Generate suitable training data (getting samples from customers, record data, label data) to set up robust detection systems.
  • Give input to software developers about bugs and missing features.
  • Service optimization and testing of products and technical prototypes on customer site worldwide.
  • Test new products and software tools.
  • Train production and service staff on new machines.
  • Commissioning of deep learning machines for established product lines.
  • Track and optimize performance of installed base.
  • Collect relevant information about planned applications from all involved departments and customers.

Qualifications

  • Master or diploma degree in Statistics, Computer Science, OR equivalent work experience demonstrated to be comparable.
  • Experience in data science and training deep neural networks on image classification tasks is an advantage.
  • Proficiency in any of the programming language (Python/SQL).
  • Interest and willingness to expand knowledge in recycling processes, sensor-based technology, electronics, and mechanical design.
  • Fluent English, German is a plus.
  • Familiarity with project management.
  • Valid driver's license.
  • Willing to travel globally to create and maintain the installed base of deep learning machines.

Additional Information

Your benefits

  • 30 days annual leave;
  • Supported company pension scheme;
  • Supported group accident insurance;
  • International SOS for private use;
  • Hybrid working principles, flexible working hours;
  • Opportunity to purchase TOMRA shares;
  • Employee benefit discounts for TOMRA Online Shop;
  • Company (e-) bike leasing;
  • Gym membership coverage support;
  • Office comfort: free parking spaces, canteen, coffee machines;
  • Professional and personal development: learning on the job, specialized course, conferences etc.;
  • Coaching opportunities - Individual Development Programs;
  • Norwegian corporate culture (no hierarchical thinking, transparent communication culture).

Are you interested?

Please send your CV in English.

(!) We value your time, instead of lengthy motivation letter, simply answer one question in the Message to Hiring Manager section when submitting your resume:

  • What is the name of the main sorting machine at TOMRA Recycling?

If there´s anything else you want to let us know or highlight, please feel free to add a further remark.

 

*Tomra does not differentiate on the basis of gender, race or ethnicity, religion, color, sexual orientation or identity, disability, age and other protected statuses as given by applicable law. We are committed to creating a diverse and inclusive environment and are proud to be an equal opportunity employer.

Most important – it’s a match!

#LI-MH1

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Publication date: 2024-04-04
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