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Senior Machine Learning Engineer - ML Planner

3 months, 2 weeks ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
C++ Computer Vision Deep Learning Machine Learning Neural Networks Python PyTorch
Apply Now
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
View All Jobs 22

Description

  • Train, evaluate, and deploy ML-based scene understanding, behavior prediction, and planning models.
  • Design and execute experiments based on input from other machine learning engineers.
  • Prototype and improve metrics for evaluating behavioral models across scenarios and robotaxi capabilities.
  • Analyze off-line and on-road evaluation data to support timely major model releases.
  • Propose new architectures and network designs based on published research and industry trends.
  • Maintain a high-quality training and evaluation codebase, including dataset generation and evaluation components.
  • Collaborate and mentor others on technical work and model development.

Requirements

  • Master’s or PhD in Machine Learning, Computer Science, 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 motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking.
  • Strong track record of solving ill-defined problems and delivering successful outcomes efficiently.
  • Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods.
  • Experience with PyTorch or other Python-based deep learning frameworks.
  • Experience working with large datasets and deriving insights from data.
  • Experience mentoring and collaborating with others.
  • Publications in relevant conferences such as CVPR, ICML, NeurIPS, ICCV, or ICLR are preferred.
  • PhD in machine learning, computer vision, or robotics vision is preferred.
  • Experience working on autonomous vehicles or related fields is preferred.
  • Experience deploying models into real-world environments is preferred.
  • Strong programming skills in C++ and/or CUDA are preferred.
  • Ability to support remote work within the United States with occasional travel.

Benefits

  • Base salary range of $146,000 to $225,000 USD.
  • Additional compensation may include a bonus and company equity.
  • Medical, dental, and vision insurance.
  • 401(k) with company match.
  • Health savings accounts.
  • Life insurance.
  • Pet insurance.

Interested in this position?

Apply directly on the company website

Apply Now

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