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 daySalary: 19,000-23,000 PLN gross UoP per month + significant equity Hybrid mode of work: 2 office days/weekTruly 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 AIWe already have them in productionWe 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 resultWe 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 innovationsProductionise novel approaches to anomaly detection (e.g. product disassembling in motion)Automate data and model retraining pipelinesUse data to influence company-level strategic decisionsEvaluate 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 deploymentVery good working knowledge and technical capabilities to understand, expand and debug deep learning models for computer visionDrive to see final outcomes: from proof of concept to productionizationGreat problem solving skills and advanced knowledge of PythonExcellent data analysis, problem solving and communication skillsFluent 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 Recruiter60 minutes Technical prescreen60 minutes Hiring Manager interviewOnsites - half a day of interviews & discussions at the office