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 a
Senior Machine Learning Applied Researcher
, 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: 20-30k gross UoP/B2B per month + significant equity
- You can work mostly remote, but if you prefer to come to the office there is a climbing wall, a full fridge and our robots waiting for you!
- Relocation package
- 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:
- Research cutting edge deep learning approaches and apply it 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
What skills we’d like you to have:
- PhD degree in Computer Science, related field or equivalent industry experience
- Expertise in deep learning and computer vision
- Experience in leading ML projects from inception to real-world deployment or research publication
- 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 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
See a short sneak peak of our product here: https://youtu.be/RQv_rbU8ffwTo apply, please click on the button below. Apply for this job
