Senior Machine Learning Engineer - 3D Sensor Simulation

AI overview

Contribute to the development of high fidelity synthetic data for training AV AI by simulating sensors with advanced GenAI and 3D graphics techniques.
The 3D Simulation group at Zoox is looking for 3D Machine Learning engineers to simulate sensors (cameras, lidar, radar), combining GenAI/ML and modern 3D graphics techniques to close the gap between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Collaborate with Sensor Sim, Perception, and V&V teams to evaluate and iteratively improve the fidelity of sensor simulation. The 3D Sensor Simulation team’s work is at the core of creating high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation. In this role, you will:
  • Research, implement, and optimize state of the art 3D rendering of sensor data, leveraging GenAI/ML and 3D graphics.
  • Develop realism metrics with V&V to show measurable impact of your improved sensor fidelity. 
  • Collaborate with Perception and Safety teams to improve realism of sensor simulation for high fidelity synthetic data.
  • Improve rendering and ML inference tooling for generating realistic data at scale.
  • Qualifications
  • 5+ years of industry experience, and/or PhD, developing neural rendering techniques like Gaussian Splatting, NeRFs, or 3D reconstruction
  • 5+ years of experience developing software with Python and/or modern C++
  • Expertise with machine learning frameworks PyTorch or Tensorflow
  • Familiarity with 3D graphics algorithms, such as 3D geometry and camera models
  • Strong mathematical skills and understanding of 3D linear algebra and probabilistic techniques
  • Bonus Qualifications
  • Master's or PhD in computer science, mathematics, physics, or related field
  • Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender.
  • Experience in 3D rendering for simulation, games, cloud computing, or VFX 
  • 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.

    Perks & Benefits Extracted with AI

    • Health Insurance: Zoox also offers a comprehensive package of benefits, including health insurance
    • Disability and life insurance: long-term and short-term disability insurance, and life insurance
    • Paid Time Off: Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement)

    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
    $227,000 – $316,000 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.

    Senior Machine Learning Engineer Q&A's
    Report this job
    Apply for this job