Deep Learning Algorithm Engineer | Learned-Policy Group
Build the intelligence behind the next driving decision.
We’re developing learning-based driving policies for complex, real-world
scenarios. We’re looking for an engineer who can turn model ideas into reliable
algorithms that run as part of Mobileye’s driving systems.
You’ll work across model development, training, evaluation, and integration.
You’ll analyze model behavior, improve the data and training process, and work
with other teams to validate performance in simulation and on real vehicles.
This is a high-impact role with direct influence on a core part of Mobileye’s
driving technology and its future products.
What will your job look like?
driving behavior.
prototyping models to building data and evaluation tools, debugging
infrastructure, and supporting deployment.
progress, comfort, interaction quality, and robustness.
to improve models and data.
teams to integrate and validate new capabilities.
All you need is:
related field.
learning models.
research, model development, data pipelines, evaluation, tooling,
integration, and deployment.
simulation, or control- an advantage
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!
Mobileye is a technology company at the forefront of the mobility revolution, developing advanced autonomous-driving and driver-assist systems. Our cutting-edge expertise in computer vision and machine learning not only powers self-driving vehicles but also enhances mobility infrastructure through sophisticated data analysis. With innovations like REM crowdsourced mapping and Responsibility-Sensitive Safety (RSS), we are shaping the future of intelligent transport.
- Founded
- Founded 1999
- Employees
- 500+ employees
- Industry
- automotive
- Funding stage
- Public
- Stock ticker
- Publicly traded (MBLY)
- Total raised
- $3B raised