Machine Learning Engineer - Mapping

AI overview

Join our collaborative algorithm team to develop advanced machine perception algorithms that facilitate autonomous driving by creating high-definition semantic maps.
High-definition semantic maps are a critical tool for enabling autonomous driving. We are looking for highly motivated individuals who are passionate about machine learning, computer vision, and machine perception. You will be part of our algorithm team with a diverse group of researchers and engineers, working together to build core machine perception algorithms to understand the natural environments and build semantic maps in an automated way. In this role, you will:
  • Design and develop novel algorithms and ML models for 2D/3D machine perception in real-world environments.
  • Leverage our large-scale ML infrastructure to speed up development and deployment of ML models.
  • Stay up-to-date with the latest state-of-the-art research in computer vision and machine learning, and apply learned knowledge to improve our systems.
  • Develop metrics and tools to analyze errors and understand improvements of our systems.
  • Coordinate cross-functional initiatives and collaborate with engineers from Mapping, Perception, Data Science, and more.
  • Qualifications
  • BS, MS, or PhD degree in Computer Science, Math or related fields.
  • 3+ years of industry or academia experience in related fields.
  • Experience with training and deploying deep learning models.
  • Experience with 3D computer vision and projective geometry.
  • Proficiency in Python.
  • Experience with deep learning frameworks such as PyTorch.
  • Bonus Qualifications
  • Conference or journal publications in Computer Vision, Machine Learning or Robotics related venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ICRA, RSS, etc.).
  • Experience with high-definition (HD) maps.
  • Experience with object detection, object recognition, semantic segmentation and/or semantic scene understanding.
  • Experience with 3D reconstruction, SLAM and/or Structure from Motion (SFM).
  • About Zoox
    Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.


    Accommodations
    If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

    A Final Note:
    You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

    Zoox an American autonomous vehicle company currently headquartered in Foster City, California with multiple offices of operations throughout the San Francisco Bay Area.

    View all jobs
    Salary
    $189,000 – $257,000 per year
    Get hired quicker

    Be the first to apply. Receive an email whenever similar jobs are posted.

    Ace your job interview

    Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

    Machine Learning Engineer Q&A's
    Report this job

    This job is no longer available

    Enter your email address below to get notified whenever we find a similar job post.

    Unsubscribe at any time.