Staff ML Research Engineer VLAs (20266)
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Do you get excited about the latest developments in ML & robot control
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 were on a mission to teach robots the real world.
Were now looking for a Staff ML Research Engineer whos 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: PLN gross UoP per month significant equity
- 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
Here is why we love this job ourselves and hope you will enjoy it too:
- We combine world-class research with top-notch engineering and apply it to solve real problems
- We build robots and vision systems powered by AI
- We have them in production at scale and see their real impact on critical operationsWe are still pretty small so everyone has a direct impact on the product and how we work
- Our team has built Google Warsaw unicorn startups (Climate Corp) tested rocket engines and worked at top companies such as Nvidia ByteDance or Snowflake. Now we shape the future of smart robotics together!
- We are scaling our team product and operations significantly
Some of the problems you may try to solve with us:
- 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
What skills wed like you to have:
- 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
- Experience in LLM VLM or VLA models
- Proficiency in SQL.
Nice to have:
What should you expect once you apply
- 30 minutes call with a Recruiter
- 60 minutes Technical prescreen
- 45 minutes Hiring Manager interview
- Onsites - 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.
See a short sneak peek of our product here:
Required Experience:
Staff IC
Key Skills
- Customer Service
- Airport Security
- ABAP
- Art And Craft
- Computing
- Inventory Management
About Company
scroll Keep your warehouse always ON ON Intelligent Robotics for Item Handling Are you wondering how picking robots could fit your AutoStore™? Watch Video to see an example Partners who take end-to-end responsibility for item handling Nomagic provides services based on Intelligent Rob ... View more
