Job Description:
• Conduct applied research in multi-modal domains to enhance our autonomous
capabilities. Specifically, you will be applying SOTA Machine Learning for tasks of
perception and autonomy. This multi-modality includes the full sensory stack of our
vehicles (lidar, cameras, localization sensors, etc.)
• Implement pipelines to achieve robust production-level models – from simulative and real
data preparation, through adapting and modifying existing networks or implementing tailormade networks, optimizing learning parameters, and evaluating performance.
• Deploy trained models to accelerate inference environments using various optimization and
quantization techniques.
• Take a meaningful part in designing and implementing our Machine Learning infrastructure,
frameworks, and evaluation tools.
Additional Positions:
Job Qualifications:
• MSc/PhD in Computer Science or Electrical Engineering with additional 5+ years of
experience.
• Expertise in Machine Learning algorithms in the domain of Computer vision, preferably
focused on solving perception problems for autonomous systems. Proficiency in Python
programming, experience working with relevant deep learning and Computer Vision
libraries (Pytorch/TensorFlow, SciPy, OpenCV).
• Solid background in Image Processing, Multiple View Geometry, Linear Algebra and
Optimization techniques.
• Experience in conversion and optimizing trained models to accelerate inference
environments within embedded HW (TensorRT, Jetson, etc.).
Advantages – this will bring you to our front row:
• C++ programming – major advantage.
• Experience developing realtime Localization and Mapping solutions.
• Experience with working in Reinforcement learning, working in simulative environments and
dealing with Sim2Real challenges.
Company Occupation:
High Tech
Company Size:
Medium (50 - 150)