Staff ML Research Engineer VLAs (20266)

Offer essentials:

• Play with robots every day
• Salary: 34,000-45,000 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 we'd 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
 
Nice to have: 
• Experience in LLM, VLM or VLA models
• Proficiency in SQL.

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: Feedback after completing the recruitment process.