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Machine Learning Manager

NomagicWarsaw, Poland | MazowieckieRemote, Hybrid, Onsite
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 organization 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 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: 30 000 - 40 000 gross UoP/B2B 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 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 
  • We have a very experienced engineering & management team from Google, early unicorns (Climate Corp...) & top robotics companies (ABB, Softbank Robotics, Dematic)
  • 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:


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

What skills we’d like you to have:


  • 5+ years of experience with machine learning
  • 3+ years of experience in people management
  • Technical leadership skills & experience
  • Great problem solving and proficiency in one of modern programing languages (we use Python and C++)
  • Experience in designing complex, multilevel software systems
  • Fluent communication in English

What should you expect once you apply?


  • 30 minutes 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

Apply for this job

Life at Nomagic

With the widespread adoption of e-commerce & multichannel sales, customers are expecting faster and high quality deliveries as well as painless processing of returns. This puts pressure on the logistics of goods, in particular in warehouses where order fulfillment requires number of repetitive pick-and-place tasks to be carried out several thousand times a day at different steps in the process, with strong peaks during high sales periods. Thanks to world-leading AI and robot control software, Nomagic provides smart pick-and-place robotic systems that adapt to multiple environments and can receive, store, sort and pack products, operating from 1 shift, 5 days a week to 24/7 depending on needs. Nomagic's first robot is now setup on a packing line at Cdiscount.
Thrive Here & What We Value1. Fast-paced and dynamic startup environment2. Top professionals in the industry3. English-speaking environment4. Relocation package available5. Flexible working hours with no late evening calls6. European base for team collaboration7. Direct impact on final product results8. Experienced engineering & management team from Google, Criteo, Climate Corp, ABB, Softbank Robotics, Dematic9. Coordination of support between teams in Poland, France, and Germany
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