R&D
Deep Learning Algorithm Engineer | Learned-Policy Group
What will your job look like?
- Develop and improve deep learning models for planning, decision making, and
driving behavior. - Work across the full development cycle, from research papers and
prototyping models to building data and evaluation tools, debugging
infrastructure, and supporting deployment. - Design training and evaluation workflows, including metrics for safety,
progress, comfort, interaction quality, and robustness. - Analyze model behavior and failure modes, run experiments, and use the results
to improve models and data. - Collaborate with control, simulation, data, and other algorithm
teams to integrate and validate new capabilities.
All you need is:
- B.Sc. or higher degree in Computer Science, Electrical Engineering, or a
related field. - 3+ years of hands-on industry experience developing and training deep
learning models. - Experience across several stages of the model lifecycle, such as
research, model development, data pipelines, evaluation, tooling,
integration, and deployment. - A solid foundation in machine learning, algorithms, and data structures.
- Experience in autonomous driving, robotics, motion planning, prediction,
simulation, or control- an advantage - Familiarity with relevant deep learning fields such as computer vision,
generative modeling, reinforcement learning, or multimodal learning- an advantage
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!


