What is this about?

We are an agile, cutting-edge disruptor in the automotive tech industry looking for motivated and fun individuals to join our quest finding creative solutions to pressing problems via Machine Learning!

We live our values trust, empowerment, and flexibility day by day and deliver complex solutions with highest impact.

With us, everyone has the opportunity to grow continuously and make an impact due to flat hierarchies as well as appreciative and direct communication.

Failure is okay and a great source to learn from! On the contrary, as we continuously push the frontier of research, errors are bound to be part of it. We help each other to develop new ideas and creative solutions together to create real value. Learning, growth and support are just part of our DNA and we thrive to have the happiest of employees at the same time.

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Who are we looking for?

To complement our team, you should be fun to work with, inspiring and bursting with ideas. We are looking for someone familiar with Machine Learning, especially Deep Learning and hands-on experience building solutions from it. Ideally, your ML experience also includes Time Series Anomaly Detection, or you are eager to acquire that knowledge quickly supported by us. You are driven by the urge to add value and create impactful products.

Furthermore, you feel comfortable working with Python as well as at least one standard DL library (Pytorch, Tensorflow). You can critically question your own results as well as politely question and celebrate the results of others. For that, it might be helpful to have a research background at university, preferably in the natural or computer sciences. However, we are looking for skills and traits, not for diploma. Thus, with a scientific and logical mindset paired with relevant work experience, you will also fit perfectly in our team!

Communicating fluently in English is a requirement and German is definitely a Plus

What will you be doing?

In our European team, you will mainly develop state of the art Time Series Anomaly Detection algorithms. Together, we will push the boundaries of current research in this area even further by publishing scientific papers or apply for patents. We will develop highly complex, non-routine algorithms and processes that will be implemented in products helping the automotive industry. You will support our growth in the region and interact with our local customers. As we grow, you will have the opportunity to grow yourself and take over more responsibility step by step taking into account your personal growth plan

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