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Machine Learning Engineer for Edge Devices

4 tygodni temu

Warsaw, Polska deepsense Pełny etat
About the Role

We are seeking an ambitious ML on Edge Engineer to join our team at deepsense.ai. As a key member of our team, you will have the opportunity to work on commercial machine and deep learning projects, grow your competencies, and share your experience with experts in the field.

Responsibilities
  • Move solutions from research phase to production
  • Compress deep learning models to gain performance with minimal accuracy drop
  • Support multiple heterogeneous deployment platforms and frameworks at once
Requirements
  • Very good knowledge of C++
  • Good knowledge of Python
  • Proficiency in using deep learning models on edge devices
  • Knowledge of software development best practices: design patterns, code smells, continuous integration, code review, unit/functional/regression tests, Git
  • Analytical thinking skills and knowledge of algorithms
  • A decent mathematical skill set (basics of linear algebra, mathematical analysis, and probability theory)
  • A strong interest in and basic knowledge of machine learning and data science
  • Good working knowledge of English (B2 level)
What We Offer
  • A chance to work on both commercial and research-oriented machine learning projects
  • An opportunity to master image and point cloud processing, deep learning, NLP, and classical machine learning in cooperation with industry experts
  • An opportunity to participate in conferences and workshops around the world
  • An opportunity to participate in Tech Talks (internal training and seminar sessions)
  • Flexible working hours
  • An attractive salary
  • An attractive benefits package (subsidized medical care, sports, frequent team-building events, fun room)
Benefits
  • Sharing the costs of sports activities
  • Private medical care
  • Sharing the costs of foreign language classes
  • Sharing the costs of professional training & courses
  • Remote work opportunities
  • Flexible working time
  • Fruits
  • Integration events
  • No dress code
  • Video games at work
  • Coffee/tea
  • Drinks
  • Sharing the costs of tickets to the movies, theater
  • Employee referral program