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Object Detection Jobs in California (NOW HIRING)

... with object detection and classification using point cloud data from radar or lidar • Strong desire to help ship AI systems that can prevent school shootings • Due to technology export ...

Solid understanding of object detection training workflows, including dataset preparation, augmentation, loss functions, evaluation metrics, and model debugging. * Experience with common detection ...

Solid understanding of object detection training workflows, including dataset preparation, augmentation, loss functions, evaluation metrics, and model debugging. * Experience with common detection ...

... object detection, and tracking algorithms in C++ • Perform statistical analysis to support algorithm characterization and verification • Test and verify your algorithms via software and hardware ...

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Object Detection information

What is the difference between Object Detection vs Computer Vision Engineer?

AspectObject DetectionComputer Vision Engineer
Required CredentialsKnowledge of machine learning, deep learning, and computer vision frameworksSame as Object Detection, often with additional programming and software development skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on image/video analysisBroader environments including robotics, autonomous vehicles, medical imaging, and multimedia
Industry UsagePrimarily in AI, robotics, surveillance, and autonomous systemsIn various sectors like automotive, healthcare, security, and entertainment

Object Detection specialists focus specifically on identifying and locating objects within images or videos, often using deep learning models. Computer Vision Engineers have a broader role, developing systems that interpret visual data, which includes object detection as one of their tasks. Both roles require similar skills and credentials but differ in scope and application.

Infographic showing various Object Detection job openings in California as of August 2026, with employment types broken down into 1% Internship, 74% Full Time, 20% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Staff TLM, Perception, Object Detection

Waymo

San Diego, CA

$73K - $90K/yr

Other

Re-posted 4 hours ago


Job description

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.

In this hybrid role you will report to a Sr Staff Technical Lead Manager.

You will:

  • Own object detection quality, work with product and safety partners on short- and long-term improvement goals in support of Waymo's scaling goals
  • Develop and execute technical roadmaps to achieve object detection quality goals
  • Leads the analysis of real-world object detection issues, and develops technical requirements for improving object detection quality
  • Build resilient and high performing teams through people development and hiring,
  • Contribute to the development of technical roadmaps, (defining team OKRs, developing believable plans to achieve the OKRs), and drive the roadmap execution
  • Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects

You have:

  • Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
  • 5+ years experience in Machine Learning and/or Computer Vision
  • 3+ year in managing ML engineering or research teams
  • Experience with Python
  • Experience with ML frameworks like PyTorch or JAX

We Prefer:

  • MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
  • Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI
  • Experience with C++
  • Experience with real-time system design