Ouster

Ouster

Sr. Machine Learning Engineer (Perception and Tracking)

San Francisco, California, USA · Senior · full-time

Sponsorship not specified$180k-$220kDetected 27 days ago
PythonC++AlgorithmsMachine LearningNLPComputer VisionA/B TestingRoboticsSensorsResearch

About the role

  • We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor.
  • Our advanced sensor hardware and vision algorithms are used in autonomous cars, robotics, industrial, and smart infrastructure applications (among many others).
  • If you're motivated by solving big problems, we're hiring key roles across the company and need your help!

Responsibilities

  • Architect Unified Models: Design and train DNN models that perform Object Detection and Tracking simultaneously, leveraging temporal information to improve consistency.
  • Optimize models for real-time inference and on-device deployment.
  • Data Strategy: Develop training recipes for data-constrained environments and effective post-training strategies.
  • Design and train DNN models that perform Object Detection and Tracking simultaneously, leveraging temporal information to improve consistency.
  • Develop training recipes for data-constrained environments and effective post-training strategies.
  • At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient.
  • The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price.

Requirements

  • Core Stack: 5+ years proficiency in Python and PyTorch.
  • 3+ years proficiency in C++ for production deployment and optimization.
  • Architecture Internals: Proven experience not being dependent on "out-of-the-box" APIs.
  • You have a track record of modifying model architectures via extensive experimentation to meet specific requirements.
  • 5+ years proficiency in Python and PyTorch.
  • Proven experience not being dependent on "out-of-the-box" APIs.

Nice to have

  • 3D / LiDAR Experience: Hands-on experience with 3D Point Cloud data (LiDAR) is a massive plus.
  • Deployment Tools: Experience with TensorRT, ONNX Runtime, or edge-specific hardware (NVIDIA Jetson, etc.).
  • You do not need to meet all of these requirements to be the ideal candidate for this role.
  • Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment.
  • Hands-on experience with 3D Point Cloud data (LiDAR) is a massive plus.

Skills

  • Experience with TensorRT, ONNX Runtime, or edge-specific hardware (NVIDIA Jetson, etc.).
  • The base pay will be dependent on your skills, work experience, location, and qualifications.
  • Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce.
  • Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind.

Compensation

  • $180k-$220k

Benefits

  • We are looking for a highly technical Machine Learning Engineer to lead our efforts in Object Detection and Tracking.
  • Strong grasp of linear algebra and probability as it applies to custom loss function design and geometric 3D vision.
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This listing is sourced directly from Ouster's careers page and normalized into a canonical job model.