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ML Researcher



Software Engineering, Data Science
Tel Aviv-Yafo, Israel
Posted on Monday, June 24, 2024


Autobrains is a fast-growing start-up with a groundbreaking approach to unsupervised learning and signature-based data representation that is set to disrupt the next generation of vehicles and mobility.

At Autobrains, you will face never-ending intellectual challenges as we redefine AI for scalable autonomous platforms and products, with the goal to forever change driving and make the roads a safer place for all. You will work with bright and talented people, in an environment where professional and personal development are a top priority.

Autobrains is backed by top investors and key players in the automotive industry such as Temasek, Toyota, BMW, Continental, Vinfast and Knorr-Bremse, with headquarters at the heart of Tel Aviv.

If you're excited about researching unsolved machine learning problems and have a weakness in building a full-scale infrastructure to do so, we encourage you to apply for this role as an ML Researcher at Autobrains.


  • Design algorithms from first-order principles to resolve edge cases of neural nets, given a binary representation of these edge cases.
  • Apply tools from deep-learning, machine learning, classical algorithms, data structures, etc.
  • Implement your algorithm elegantly in Python, and supply performance indicators to validate the performance of your design.


  • MSc.in relevant disciplines (e.g., EE/CS/Applied Math/Physics) - Must
  • 4 years of industry experience in research positions in Deep Learning, Computer Vision, and Machine Learning.
  • Experience with self-supervised learning is an advantage
  • Experience with active learning is an advantage
  • Availability for a full-time position from our office HQ in Tel Aviv


  • Technical expertise: Deep understanding of classical algorithms, math, statistics, probability, optimization theory, and data structures.
  • Problem-solving skills: Ability to identify problems, evaluate alternatives, and implement effective solutions.
  • Proactive in taking on new challenges, seeking out opportunities to improve processes, and driving results
  • Good inter-personal skills both in day-to-day interaction for achieving team development goals, and in communicating ideas inside / outside the team.
  • Ability to work rapidly changing constrains and dynamic tasks