Senior Machine Learning Engineer

· Zagreb, Grad Zagreb
Employment Type Full-Time
Minimum Experience Experienced


Hi, we're Visage Technologies. We’ve been innovating in the field of computer vision since 2002. Today, we have dozens of unique R&D projects under our belt and we’re a proud owner of visage|SDK  - 100% proprietary technology that tracks, analyzes and recognizes human faces.

With hundreds of clients relying on our SDK, we gotta make sure it’s always top-notch. That's why we're looking for a  Senior Machine Learning Research Engineer to join our team.

Who are we looking for?

  • 5+ years of relevant Machine Learning experience
  • experience with Python, C++ and Git
  • The capacity to understand complex algorithms
  • Excellent English communication skills

Although it’s not mandatory, we wouldn’t mind at all if you had:

  • Ph.D. in computer vision, machine learning, or a similar field
  • Experience with broadly used machine learning frameworks (PyTorch, Tensorflow, etc.)
  • Experience using OpenCV
  • Experience developing algorithms for face tracking and analysis


About the job

Visage Technologies’ face tracking and analysis algorithms can accurately locate faces and facial points in images or videos, and estimate age, gender, emotion, and identity.

All these algorithms depend in large part on machine learning and are expected to run on a wide array of supported platforms.

To be exact, your contribution to the product would include:

  • independent research of the latest scientific publications
  • a focus on practical implementation details, such as execution speed and memory consumption
  • expand your knowledge through constructive thinking, discussion, latest scientific publications and conferences
  • creatively apply this knowledge to real-world problems in face tracking and analysis.

But ... what's in it for you? 

  • Focus on our own, in-house product
  • Working with cutting-edge technology and top-notch tools
  • Guided professional development and mentorship
  • Personal monthly and yearly education budget for training courses and conferences
  • Stock options
  • The annual non-taxable award
  • Financing of PhD related or unrelated to work
  • Vacation and holiday bonuses
  • Prioritizing health and work-life balance through flexible working hours, remote work, freedom under responsibility
  • Sponsored health checks, and MultiSport membership
  • Support for parents, including additional days off, Christmas gifts for children, and childbirth allowance
  • Foreign languages courses and access to the company's library
  • Various internal initiatives focused on sports, hobbies and team buildings
  • Working for a high-rated company that supports its employees and nurtures transparency.


Ready to apply or have a question? Get in touch - we look forward to meeting you!

Thank You

Your application was submitted successfully.

  • Location
    Zagreb, Grad Zagreb
  • Employment Type
  • Minimum Experience