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?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 an ML 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.
Offer essentials:
- Play with robots every day
- Salary: 19,000-23,000 PLN gross UoP per month + significant equity
- Hybrid mode of work: 2 office days/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:
- 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
- Productionise 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
What skills we’d like you to have:
- Master’s degree in Computer Science, related technical field or equivalent experience.
- Experience with ML projects from inception to real-world deployment
- Very good working knowledge and technical capabilities to understand, expand and debug deep learning models for computer vision
- Drive to see final outcomes: from proof of concept to productionization
- Great problem solving skills and advanced knowledge of Python
- Excellent data analysis, problem solving and communication skills
- Fluent communication in English
Additionally a plus:
- Experience in applying deep learning methods for robotics
- Proficiency in SQL.
What should you expect once you apply?
- 30 minutes call with a Recruiter
- 60 minutes Technical prescreen
- 60 minutes Hiring Manager interview
- Onsites - half a day of interviews & discussions at the office
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