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Senior Machine Learning Research Engineer
NomagicSenior Machine Learning Research Engineer at Nomagic teaching robots to understand the real world. Collaborating with an expert team to develop deep learning for robotics.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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 and communication skills
- Fluent communication in English.
- Nice to have:
- Experience in applying deep learning methods for robotics
- Experience in LLM, VLM or VLA models
- Proficiency in SQL
Benefits
Comp & perks- Relocation package
- Truly flexible working hours
- No late evening calls - the entire team is based in Europe :)
- English-speaking environment
- Hybrid mode of work: 2 office days/week
ATS Keywords
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Hard Skills & Tools
deep learningmachine learningcomputer visionPythonanomaly detectiondata analysisSQLmodel retrainingdata drift detectionrobotics
Soft Skills
problem-solvingcommunicationcollaborationdrive for outcomes