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Object Detection Jobs in California (NOW HIRING)

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

Data Science And Ai

San Francisco, CA · On-site

$120 - $160/hr

Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc. * Knowledge of neural networks, CNNs, and image ...

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

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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.

What job categories do people searching Object Detection jobs in California look for?

The top searched job categories for Object Detection jobs in California are:

Infographic showing various Object Detection job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer, 3D Object Detection (PhD New Grad)

SupportFinity™

San Francisco, CA • On-site

$170 - $216/hr

Other

Posted 24 days ago


Job description

Machine Learning Engineer, 3D Object Detection (PhD New Grad)

Waymo | Posted Mar 11

Full-time

Unknown

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), 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 Technical Lead Manager.

You Will
  • Own tasks in the ML Driver, take responsibility for task scaling and task performance, create ML methods and recipes to scale and improve tasks.
  • Analyze behavior of ML systems in real-world application, identify issues and root causes, advise or develop short- and long-term solutions.
  • Monitor ML systems in production, develop methods for automatically detecting issues or regressions, develop AI-aided analysis and debugging tooling.
  • Develop and maintain metrics for ADV relevant issues, including safety-critical and longtail issues.
You Have
  • Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
  • 3+ years experience in Machine Learning and Computer Vision
  • 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, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI
  • Experience with C++

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$170,000—$216,000 USD

About the company

Waymo

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