
Machine Learning Manager – Tech Lead, VLAs
Nomagic
full-time
Posted on:
Location Type: Hybrid
Location: Warsaw • Poland
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Salary
💰 PLN 34,000 - PLN 45,000 per month
Job Level
About the role
- Do you get excited about the latest developments in ML & robot control?
- Are you ready to learn the new, exciting world of smart robots and physical AI?
- Do you want to shape the future of robotics?
- Do you feel tired of working in a big company?
- Would you like to cooperate with top professionals in our industry?
- Lead a team of amazing engineers and shape the company culture
- Develop the latest ML methods for end-to-end robot control
- Be the first in the world to deploy these models into a production environment, at a large scale
- Build self-organized, well-functioning teams, focused on making our robots intelligent and our customers happy
- Foster a culture of trust and open feedback, disregard for the impossible!
Requirements
- 7+ 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.
- Proven leadership experience (although not necessarily as a line manager)
- Great problem-solving skills and advanced knowledge of Python
- Excellent data analysis, problem-solving and communication skills
- Fluent communication in English.
- Nice to have:
- Experience in LLM, VLM or VLA models
- Proficiency in SQL.
Benefits
- Salary: 34,000-45,000 PLN gross UoP per month + significant equity
- English-speaking environment
- Relocation package
- Hybrid mode of work: 2 office days/week
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdeep learningcomputer visionPythonSQLLLM modelsVLM modelsVLA modelsdata analysisproductionisation
Soft Skills
leadershipproblem-solvingcommunicationteam buildingtrustopen feedbackcollaborationdrive for outcomesadaptabilitycreativity