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No Magic · Physical AI & Machine Learning

Machine Learning Tech Lead

HybridLeadWarsaw, Mazovia, Polandzł35k–zł39k/mAI/MLPlatform
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Our Take

Lead Machine Learning R&D for physical manipulation robots at Nomagic.

What you’ll do

  • Lead ML R&D for robot manipulation
  • Build self-organized, functioning teams
  • Deploy and improve ML systems
  • Develop ML integration APIs
  • Drive data-driven impact measurement

What they’re looking for

  • 5+ years production deep learning
  • Technical leadership skills
  • Proficiency in Python or C++
  • Experience with computer vision
  • Fluent English communication
  • Experience in people management
  • Developing APIs for ML integration
  • Deploying and improving ML systems

What you get

  • Salary: 35,000 - 39,000 gross UoP/month
  • Equity options
  • Relocation package
  • No late evening calls
  • Partly remote work possible

Skills & Focus Areas

  • Python
  • C++
  • Deep Learning
  • Computer Vision
  • APIs
  • data-driven measurement

As posted by No Magic

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 an engineering organisation from its early days?
Do you feel tired of working in a big company?
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 are looking for a Machine Learning Tech Lead 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 at the same time build a healthy team.

Offer essentials:

  • Play with robots every day
  • Salary: 35,000 - 39,000 gross UoP per month + equity
  • Relocation package if you are willing to move to Warsaw
  • No late evening calls - the entire team is based in Europe :)
  • 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 scaling our machine learning team significantly
  • We combine world-class research with top-notch engineering and apply it to solve real problems
  • We build robots powered by AI 
  • We already have them in production
  • We are still pretty small, so everyone has a direct impact on the product and how we work 
  • Our team has built Google Warsaw, unicorn startups (Climate Corp), led research in DeepMind, tested rocket engines and worked at top companies such as Nvidia or ByteDance. Now we shape the future of Physical AI together!

    • Some of the problems you may try to solve with us:

  • Leading research and development efforts to enhance robots with capabilities to autonomously manipulate objects using advanced grippers (suction cups, finger grippers and other advanced tools)
  • Building self-organized, well-functioning teams, focused on making our robots intelligent and our customers happy
  • Building a culture of trust and open feedback, disregard for the impossible!
  • Taking responsibility for deploying and continuously improving ML systems in production and measuring their impact in a data-driven way
  • Developing interfaces and APIs for the integration of machine learning algorithms with robots and warehouse management systems

    • What skills we’d like you to have:

  • 5+ years of experience with production-grade deep learning systems; computer vision is a strong plus
  • Technical leadership skills & experience
  • Great problem-solving and proficiency in one of the modern programming languages (we use Python and C++)
  • Experience in people management is a strong plus
  • Fluent communication in English

    • What should you expect once you apply?

  • 30-minute call with a Recruiter
  • 60 minutes Technical prescreen
  • 45 minutes Hiring manager interview
  • Onsites - half a day of interviews & discussions at the office
  • Reference check


    • We make the final decision after max. 2-3 days after an onsite interview. Important: expect detailed feedback regardless of our decision.

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