DevJobs

Deep-Learning Algorithm Engineer

Overview
Skills
  • Python Python
  • ML ML
  • PyTorch PyTorch
  • imitation learning
  • reinforcement learning
  • unsupervised ML algorithms
  • analysis tools
  • model evaluation
  • validation techniques
  • vision AI algorithms
Who we are:

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.

What you will do:

Autobrains’ L4 R&D group is growing and looking for an experienced Deep-Learning Algorithm Engineer.

In this role, you will work in the advanced-features R&D team developing deep learning based models for autonomous driving.

Responsibilities:

  • Stay up to date with the latest AI research papers relevant to autonomous driving.
  • Deep-dive into innovative and advanced technologies for autonomous driving.
  • Learn about and implement state-of-the-art deep learning models.
  • Create POCs and present to key stakeholders (internally and to external business and development partners).
  • Develop end-to-end scalable algorithms, from concept to delivery and production.

Requirements:

  • MSc in relevant disciplines (e.g., EE/CS/Applied Math/Physics/Bio Engineering/Computational Biology/etc.)
  • Solid understanding of ML algorithms, model evaluation, and validation techniques
  • Broad knowledge and experience with vision AI algorithms, analysis tools and methods
  • Strong programming skills in Python and experience with PyTorch
  • Experience in unsupervised ML algorithms such as clustering – advantage
  • Experience in imitation learning – advantage
  • Experience in reinforcement learning – advantage
Autobrains