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Machine Learning Intern

Remote: 
Full Remote
Contract: 
Experience: 
Entry-level / graduate
Work from: 

Offer summary

Qualifications:

Hands-on experience with deep learning models, Proficiency in Python.

Key responsabilities:

  • Assist in solving complex machine learning problems
  • Work on enhancing robot perception capabilities

Nomagic logo
Nomagic Startup https://nomagic.ai/
11 - 50 Employees
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Job description

Do you get excited when your software actually interacts with the physical world?
Are you ready to learn the new exciting world of smart robots?
Do you want to build groundbreaking technology?
Would you like to cooperate with top professionals in our industry?


If your answers are mostly yes, then you should keep reading. 

At Nomagic, we’re on a mission to teach robots the real world. We’re now looking for a Machine Learning Intern, who’s ready to deep dive into the hard problems of physical manipulation (trying to match with software the millions of years of development leading to the human hand + eye) and bring his energy and commitment to our amazing team.

Offer essentials:
  • Play with robots every day
  • Salary: 8 000 - 10 000 gross UoP per month
  • Truly flexible working hours
  • Opportunity to learn from top-notch engineers
  • English-speaking environment
  • Partly remote work is possible!

  • Here is why we love this job ourselves, and hope you will enjoy it too:
  • We are at the forefront of AI Robotic systems changing our society - for the better! 
  • We already have robots in production running 24/7
  • We are here to change the world. Our motto is “Iterate to excellence”
  • We’re still pretty small, so everyone has a direct impact on the final result
  • We have a very experienced AI, engineering & management team 
  • We combine world-class research with top notch engineering and apply it to solve real problems

  • Some of the problems you may try to solve with us:
  • Expanding the perception capabilities of our system by enabling more variety of products that our robots can handle
  • Detecting anomalies, e.g. using a combination of signals to determine if a robot picked more than one item at once or if one item is disassembling
  • Training models that solve multiple problems with multiple loss functions
  • Productionizing ML models - performance monitoring and AB-testing

  • What skills we’d like you to have:
  • Hands-on experience with deep learning models
  • Understanding of fundamentals of machine learning and deep learning
  • Great problem solving and proficiency in Python
  • Ability to learn quickly new domains and navigate in complex systems
  • Energy and hands-on attitude! Strive to get things done and find solutions whatever it takes
  • Fluent communication in English

  • What should you expect once you apply?
  • Codility test
  • Quick intro call with a Recruiter
  • 60 minutes coding interview
  • 60 minutes machine learning interview
  • See a short sneak peak of our product here: https://youtu.be/RQv_rbU8ffw

    To apply, please click on the button below.

    Required profile

    Experience

    Level of experience: Entry-level / graduate
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Other Skills

    • Problem Solving
    • Energetic
    • Communication

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