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Robotics Control & ML Engineer Intern / Working Student (m/f/d)

Robotics Control & ML Engineer Intern / Working Student (m/f/d)

HAN’S ROBOT is a high-tech robotics company which is poised to usher the way into the cognitive era by building intelligent robotic assistants which amplify humans and focus on solving societies biggest issues e.g. the aging society.  

At HAN’S ROBOT we believe that humans should be able to do what is at the core of the human nature. We want to enable people to express their creativity and focus more on social interactions again instead of doing unhealthy and monotonous jobs, which is still very common among the general society. Hence everything we do is based on the slogan: "WE SERVE HUMANITY". 

 

Your Tasks:

Create something revolutionary: You will be involved in programming and implementation of various applications involving robotics, control and machine learning. You support the control & AI team by executing small​ development projects and take responsibility for integral​ components of a newly developed robotic system.​

 

Your Profile

  • Good knowledge of C++ or Python​​
  • Good knowledge​ in the development of well structured and documented code
  • Basic knowledge of Machine Learning, Deep Learning, Caffe, Pytorch and TensorFlow is a plus​
  • Methodical thinking for complex problems​
  • Advanced English language skills​

 

What we offer

  • A young highly motivated international team
  • Friendly and comfortable environment
  • Professional and personal development
  • Bi-weekly team breakfasts. We have a lot of foodies on board

 

Please send your detailed application documents to:

career@hansrobot.de

or apply with LinkedIn:

Apply with LinkedIn

Han's Robot is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.