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Machine Learning Engineer

NomagicOnsite
This job is no longer open
Do you get excited when your ML models interact with the physical world? 
Are you ready to learn the new exciting world of smart robots?Would you like to cooperate with top professionals in our industry?If your answers are mostly

yes


, then keep on reading. At

Nomagic


, we’re on a mission to teach robots the real world. We’re now looking for a

Senior


Software Engineer in Machine Learning


, who’s ready to deep dive into the hard problems of understanding the real world (trying to match with software the millions of years of development leading to the human hand + eye) and share ML engineering experience and ideas with our amazing team.

Offer essentials:


  • Play with robots every day
  • Salary: 20 000 - 30 000 gross UoP per month + equity
  • Hybrid work possible (2 office days a week)
  • Truly flexible working hours 
  • No late evening calls - the entire team is based in Europe :)
  • English-speaking environment

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


  • Our robots are powered by AI
  • We already have them in production
  • We get to solve the problems no one has ever solved before 
  • We’re still pretty small, so everyone has a direct impact on the final result
  • We have a very experienced engineering & management team from Google, unicorns (Criteo, Climate Corp...) & top robotics companies (ABB, Softbank Robotics, Dematic)
  • We combine world-class ML research with top-notch engineering and apply it to solve real problems.

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


  • Build and deploy new ML-based approaches to:
  • Enable using new grippers to expand the range of products handled by our robots;Detecting anomalies like detecting product opening in motion, to know when to ask a human operator for help
  • Automate data and model retraining pipelines;
  • Build tooling for easy qualitative and quantitative analysis of computer vision model’s performance;
  • Evaluate and monitor ML models in production, detect data drifts and other reasons for degraded performance.

What skills we’d like you to have:


  • Master’s degree in Computer Science, related technical field or equivalent experience
  • Great problem solving and software engineering skills, advanced knowledge of one of modern programming languages (we mainly use Python but C++ and Rust are also welcome).
  • 5+ years of experience with delivering components of complex, multistage software systems.
  • Experience with ML frameworks like PyTorch or Tensorflow.
  • Understanding of data-centric approach to training, deploying and monitoring ML models.
  • Fluent communication in English.

Additionally a plus:


  • Experience with solving real-world computer vision problems with ML techniques
  • Experience with ML training orchestration and experiment tracking tools
  • Fluency in writing complex SQL queries
  • Foundations in statistics - hypothesis testing, confidence intervals.

What should you expect once you apply?


  • 30 minutes call with a Recruiter
  • 60 minutes Technical prescreen
  • 60 minutes Hiring Manager interview
  • Onsite visit
  • We make the final decision after max. 4-5 days after onsite interview
  • Expect detailed feedback regardless of our decision.

20,000 zł - 30,000 zł a monthSee a short sneak peak of our product here: https://youtu.be/RQv_rbU8ffwTo apply, please click on the button below. Apply for this job

This job is no longer open

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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