Senior Machine Learning Engineer - Perception

4 weeks ago
Full-time
Senior
Artificial Intelligence and Machine Learning
Motional

Motional

Motional is a leading company in driverless technology and autonomous vehicles, leveraging decades of industry expertise to develop and deploy safe and reliable autonomous vehicles. With a powerful DNA combining Aptiv's automotive technology and Hyunda...

Automotive
1K-5K
Founded 2020
$20M raised

Description

  • Contribute to the development and implementation of perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data.
  • Design and implement sensor fusion algorithms that combine multiple sensor inputs into a robust perception system.
  • Optimize perception algorithms for real-time execution on embedded hardware.
  • Collaborate with engineers and cross-functional teams to integrate perception systems into larger autonomous driving systems.
  • Stay current with machine learning and computer vision research and apply relevant advances to production problems.
  • Productionize and deploy perception solutions onto autonomous vehicle fleets.
  • Analyze large datasets from multiple sources to derive actionable insights.
  • Mentor and guide junior engineers on the team.
  • Connect technical work to business impact through technology solutions.

Requirements

  • Master’s or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field, or equivalent industry experience.
  • In-depth understanding of common machine learning and deep learning algorithms.
  • Experience designing, training, and analyzing neural networks for one or more of: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, or end-to-end perception.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Fluency in Python, including standard scientific computing libraries and Python bindings development experience.
  • Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods.
  • Excellent communication and interpersonal skills.
  • Experience mentoring and leading others.
  • Strong programming skills in C++ and/or CUDA programming, preferred.
  • Proven track record of developing and deploying perception systems for autonomous vehicles or robotics, preferred.
  • Experience with embedded systems and real-time optimization, especially in the autonomous driving industry, preferred.
  • Experience with launching ML products from ideation, preferred.
  • Proven track record of publications in relevant conferences such as CVPR, ICML, NeurIPS, ICCV, or ICLR, preferred.
  • Experience deploying models into real-world environments, preferred.

Interested in this position?

Apply directly on the company website

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