Machine Learning Tech Lead

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.