Commitment: Full-Time Location: Warsaw, Poland Work type: Hybrid

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 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: 25,000-32,000 PLN gross UoP per month + significant equity.
• Hybrid mode of work: 2 office days/week.
• Relocation package.
• Truly flexible working hours.
• No late evening calls - the entire team is based in Europe :)
• English-speaking environment.

Why We Love This Job:

• 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.

Potential Problems to Solve:

• Develop cutting-edge deep learning approaches and apply them to the 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.

Skills We'd Like You to Have:

• 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, problem-solving and communication skills.
• Fluent communication in English.

Additionally, a plus:

• Experience in applying deep learning methods for robotics
• Proficiency in SQL.

Application Process:

• 30-minute call with a Recruiter.
• 60-minute Coding Interview.
• 60-minute Hiring Manager Interview.
• Onsite - half a day of interviews & discussions at the office.
• We make the final decision after max. 4-5 days after an onsite interview.
• Important: expect feedback regardless of our decision.