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Data Scientist AI-based Recycling (m/f/d)

Data Scientist AI-based Recycling (m/f/d)

About WeSort.AI – Changing the game!

WeSort.AI GmbH is a high-tech start-up from Würzburg that is revolutionizing recycling through artificial intelligence and is thus making a significant contribution to the urgently needed circular economy. Our deep learning systems enable both granular analysis and sorting of, for example, electronic waste and various plastics. In 2023, we were one of six start-ups nationwide to be awarded the prestigious Founders' Prize plus from the Federal Ministry of Economics (BMWK) for our systems. In 2024, we received the next major award as one of the winners of the German Founders' Prize, initiated by Stern, Sparkasse, ZDF and Porsche.

In addition, at WeSort.AI we work on research projects with well-known partners such as Fraunhofer and Siemens to combat climate change and ocean pollution.

As a leading provider in the DACH region and with market entry in 2024, our team is growing rapidly.

We are looking for a motivated, positive and resilient employee with a hands-on mentality. You love what you do and want to revolutionize the entire industry with your team.

Area: AI development

Start: next possible date

Contract duration: unlimited

Working hours: Full time (40 hours/week)

Home office: 2 0%

This is your new passion

  • ​Holistic and independent development and shipment of AI models to the customer using our existing data pipeline as well as improvement and extension of existing models

  • Data acquisition, support in annotation processes

  • Further development of data and training pipelines as well as our data workspace

  • Design of AI algorithms (architectures, training procedures, etc.), hyperparameter optimization as well as measurement and implementation of performance-enhancing measures

  • Software-side implementation of AI algorithms in Python with PyTorch

  • Development of interfaces and integration of algorithms in real-time applications

  • Management and maintenance of cloud training environment and data pipeline (Microsoft Azure)

  • Technology stack: Python, PyTorch, PyTorch-Lightning, Azure-ML, Docker, Jupyter notebooks, etc.

  • Technology scouting and active participation in technology decisions

  • Work in autonomous Scrum teams in flat hierarchies with plenty of room to help shape things

  • Collaboration in agile processes with colleagues as well as national and international partners and customers.

  • Technology scouting and active participation in technology decisions

  • Willingness to travel to customers and desire to develop the team on site

You inspire us

Preferred qualifications

  • 5 years of proven experience in the development of complex software projects 

  • At least 3 years of professional experience in the development and shipment of AI algorithms in the field of computer vision 

  • Experienced in the independent development of software projects 

  • Master's degree or PhD in computer science, data science, artificial intelligence, mechanical engineering or a related field 

  • Practical experience in the development of real-time applications and the integration of AI algorithms 

  • Experience in building and maintaining data pipelines and cloud training environments, preferably with Microsoft Azure 

Minimum qualifications

  • Strong problem-solving skills and analytical thinking as well as a goal-oriented way of working 

  • Several years of professional experience in the development and implementation of AI models and algorithms. 

  • Proven professional experience in the development and shipment of AI algorithms in the field of computer vision 

  • In-depth knowledge of Python and PyTorch as well as experience with PyTorch-Lightning and Jupyter notebooks. 

This is what we offer you

  • Working in a young and interdisciplinary start-up team

  • Lots of responsibility and creative freedom right from the start

  • clear career plan with defined goals

  • Exploring the future fields of “artificial intelligence” and “circular economy”

  • Active contribution to climate protection & circular economy

  • Active involvement in decisions

  • Team spirit and a family atmosphere


Send an email to or apply via LinkedIn. A formal cover letter is not absolutely necessary, but please state your salary expectations in annual gross. 


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