Senior Machine Learning Research Engineer

Poland·WarsawFull-Timesenior

OtherMachine Learning Research Engineer

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OtherMachine Learning Research Engineer

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

Are you ready to learn the new exciting world of smart robots?

Do you strive in a fast paced and dynamic (startup) environment?

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 Machine Learning Research Engineer, 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.

Play with robots every day

Relocation package

Truly flexible working hours

No late evening calls - the entire team is based in Europe :)

English-speaking environment

Hybrid mode of work: 2 office days/week

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

Develop cutting-edge deep learning approaches and apply them to robotic handling of a vast variety of objects.

Increase our robots' dexterity by collaborating with the hardware team on real-world, physical innovations.

Productionize novel approaches to anomaly detection (e.g. product disassembling in motion).

Automate data and model retraining pipelines

Use data to influence company-level strategic decisions

Evaluate and monitor ML models in production, detect data drifts and other reasons for degraded performance

5+ 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

Great problem-solving skills and advanced knowledge of Python

Excellent data analysis and communication skills