Staff ML Research Engineer at Nomagic developing machine learning solutions for robotics. Collaborating with top professionals to tackle challenges in ML and robot control.
Responsibilities
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
Requirements
6+ years of experience in developing machine learning systems
Proven experience in deploying machine learning projects to production
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
Fluent communication in English.
Nice to have:
Experience in LLM, VLM or VLA models
Proficiency in SQL.
Benefits
Relocation package
Truly flexible working hours
No late evening calls - the entire team is based in Europe :)
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