Senior Machine Learning Engineer - Prediction

2 hours, 27 minutes ago
Full-time
Senior
Software Development
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

  • Train, evaluate, and deploy ML models for scene understanding, behavior prediction, and planning.
  • Design and execute experiments based on input from other machine learning engineers.
  • Develop and improve metrics to evaluate behavioral model performance across scenarios and robotaxi capabilities.
  • Release major model updates and analyze offline and on-road evaluation data.
  • Propose new model architectures and network designs based on published literature and industry trends.
  • Maintain a high-quality training and evaluation codebase, including dataset generation and evaluation components.
  • Work with large datasets to derive insights that improve model performance.
  • Collaborate and mentor teammates on machine learning and engineering work.

Requirements

  • 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 ambiguous problems efficiently and delivering successful outcomes.
  • Advanced knowledge of software engineering principles, including software design, source control, 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.
  • Master’s or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or a related field, or equivalent industry experience.
  • Preferred: publications in relevant conferences such as CVPR, ICML, NeurIPS, ICCV, or ICLR.
  • Preferred: PhD in machine learning, computer vision, or robotics vision.
  • Preferred: experience working on autonomous vehicles or related fields.
  • Preferred: experience deploying models into real-world environments.
  • Preferred: strong programming skills in C++ and/or CUDA.
  • Remote work within the United States is supported, with occasional travel.

Benefits

  • Base salary range of $146,000 to $225,000 USD.
  • Additional compensation may include a bonus or company equity.
  • Medical, dental, and vision coverage.
  • 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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