Mar 18, 2024

Senior Machine Learning Engineer (Edge AI) is a software company that empowers the development of simulation platforms for robotics applications. Our Simulation and Robotics teams deliver ROS2-enabled, scalable simulation solutions for automotive, agriculture, manufacturing, logistics, mining & construction. Our Driver Monitoring Team provides data for training and validation of Driver Monitoring System algorithms. We believe that human centered robotics and open source are the future of sustainable growth.

We are looking for a Senior Machine Learning Engineer who will help us develop Machine Learning solutions for anomaly detection on application processors.

What you will do:

  • Develop anomaly detection solution for cybersecurity
  • Work with modern application processors with ARM Cortex A CPUs
  • Cooperate with industrial customers to finetune the solution to production setting
  • Test the solution on actual real life malware (in a sandbox environment)


  • University degree in Computer Science, Machine Learning, Computer Vision, or a related field
  • Thorough understanding of Machine Learning concepts
  • Experience with embedded systems and microcontrollers
  • Strong software engineering skills in Python
  • Practical experience with ML / Data Science related frameworks and libraries such as  Numpy, Pandas, and Matplotlib
  • Familiarity with collaboration tools and methods such as git or CI
  • Excellent communication and teamwork skills
  • At least C1 level of English in both writing and speaking to communicate with foreign clients

Nice to haves:

  • Understanding data drift and anomaly detection related problems in ML
  • Statistics background
  • Understanding of cybersecurity, hardware, and networking. Professional experience in using C/C++
  • Experience in team or project management

What’s in it for you:

  • Work with the best experts in robotics, simulation using the latest technologies
  • Opportunity to contribute to open source
  • Competitive salary (up to 25 000 + VAT)
  • Cosy office space at Hala Koszyki, Warsaw
  • Private medical care and sports card
  • Flexible working hours in hybrid mode
  • Friendly and team-oriented culture