Deep Learning Algorithm Engineer | Learned-Policy Group

Team: Algorithms

Location: Ramat Gan, Israel

Commitment: Full time

Workplace Type: hybrid

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