Machine Learning Manager & Tech Lead - VLAs

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Summary

Location

Warsaw (Hybrid)

Salary

PLN34,000 - PLN45,000/month

Work

Full-time

Experience

7+ years

Key Benefits
Significant Equity
Relocation Package
Hybrid (2 Days)
Hands-on Robots

About this Job

Do you get excited about the latest developments in ML & robot control?

Are you ready to learn the new, exciting world of smart robots and physical AI?

Do you want to shape the future of robotics?

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 Teach Lead Manager 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: 34,000-45,000 PLN gross UoP per month + significant equity
  • English-speaking environment
  • Relocation package
  • Hybrid mode of work: 2 office days/week

Here is why we love this job ourselves, and hope you will enjoy it too:

  • We combine world-class research with top-notch engineering and apply it to solve real problems
  • We build robots and vision systems powered by AI
  • We have them in production at scale and see their real impact on critical operations
  • 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), tested rocket engines and worked at top companies such as Nvidia, ByteDance or Snowflake. Now we shape the future of smart robotics together!
  • We are scaling our team, product and operations significantly

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

  • Develop the latest ML methods for end-to-end robot control
  • Most importantly, be the first in the world to deploy these models into a production environment, at a large scale
  • Lead a team of amazing engineers and shape the company culture
  • Build self-organized, well-functioning teams, focused on making our robots intelligent and our customers happy
  • Foster a culture of trust and open feedback, disregard for the impossible!

What skills we’d like you to have:

  • 7+ years of experience in developing machine learning systems
  • Very good working knowledge and technical capabilities to understand, expand and debug deep learning models for computer vision
  • Drive to see the final outcomes: from proof of concept to productionisation.
  • Proven leadership experience (although not necessarily as a line manager)
  • Great problem-solving skills and advanced knowledge of Python
  • Excellent data analysis, problem-solving and communication skills
  • Fluent communication in English

Nice to have:

  • Experience in LLM, VLM or VLA models
  • Proficiency in SQL.

What should you expect once you apply?

  • 30-minute call with a Recruiter

  • 60 minutes Coding Interview

  • 45 minutes Hiring manager Interview

  • 30 min People management and organisational leadership 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 on-site interview. Important: expect detailed feedback regardless of our decision.

About the Company

Nomagic logo

Nomagic

Privately Held
Logistics & WarehousingSystem IntegrationRobotics Software & AI

Nomagic delivers AI powered robotic picking solutions that transform how warehouses operate. Our advanced vision systems and machine learning algorithms enable robots to handle millions of different items with speed and precision, helping e-commerce, retail and logistics leaders achieve new levels of efficiency, accuracy and scalability. From piece-picking automation to seamless integration with warehouse management systems (WMS), Nomagic’s technology is designed to reduce operational costs, solve labour shortages and meet ever growing customer expectations. We work with leading brands and fulfilment providers worldwide to optimise their order fulfilment, returns processing and inventory management, all while delivering a faster, more reliable supply chain. Specialties: AI robotics, warehouse automation, robotic picking, computer vision, machine learning, fulfilment optimisation, e-commerce logistics, retail supply chain solutions. Mission: To make warehouses smarter, more flexible and more sustainable through cutting-edge robotics and AI.

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