Graduation Thesis Bachelor-Master Automated Parking with Reinforcement Learning

Munich Germany

Over three weeks ago

190220/INGO-MUN/1901/W

Since July 2017 intive and iNTENCE automotive electronics GmbH drive together the digitalization within the automotive sector.

iNTENCE is looking for a Graduation Thesis Bachelor-Master Automated Parking with Reinforcement Learning to join our growing team in Munich.

Your task is to teach a donkey car automated parking by using the specialty of machine learning and reinforcement learning. You work with state-of-the-art development environments and the latest technologies. Your ideas and suggestions are always welcome and appreciated.

We attach great importance to high-quality code and software quality, therefore our experienced software architects and developers support you in the implementation of your programming tasks by regular code reviews and numerous tips and tricks.

For us, quality is no coincidence, but results from above-average technical and methodological skills, lived by people with a strong identification with the product. If that describes you too, then by all means, get in touch – we’d love to work with you.

Required skills:

  • Machine Learning

    2

    Beginner

  • Automotive Software

    1

    Beginner

You are a good match if you:

- Study computer science, business informatics, mathematics, physics, electrical engineering or comparable
- Have knowledge in machine learning
- Have knowledge in reinforcement learning
- Are fluent in written and spoken German and English (a level of C1/C2 in both languages is mandatory for this position!)
- Are a reliable and independent worker

You will be responsible for:

- Teach a donkey car the automated parking
- Use the specialty of machine learning and reinforcement learning

You get extra points for:

- Basic knowledge of one of the programming languages ​​Python or C++
- Basic knowledge of the machine learning framework TensorFlow or comparable

Your benefits:

Clock icon

Flexible work hours

Knowledge sharing

Knowledge sharing

training

Training program

pro on bording

Pro Onbording

referral_program

Referral program

dresscode

No dress code

And on top of these:

X-mas party and picnic

Fresh fruit twice a week

Me&You, no Mr&Mrs

We stick together. It's pretty amazing to see how smoothly new intivers find themselves within our culture. We love to see that.

Katarzyna Szydłowska

Director Business HR