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Machine Learning Object Detection Jobs in San Leandro, CA

Agility Robotics

Staff AI Engineer, Perception

Fremont, CA · On-site

$207K - $323K/yr

Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation * Evaluate and drive adoption of state-of-the-art perception ...

Matroid

Deep Learning Field Engineer

Palo Alto, CA · On-site

... object detection, anomaly detection, panoptic segmentation, action recognition and tracking. • ... Preferred : • Graduate degree with a concentration in CV, artificial intelligence, machine ...

Matroid

Deep Learning Field Engineer

Palo Alto, CA · On-site

... object detection, anomaly detection, panoptic segmentation, action recognition and tracking. • ... Preferred : • Graduate degree with a concentration in CV, artificial intelligence, machine ...

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in San Leandro, CA

Machine Learning Object Detection information

See San Leandro, CA salary details

$35.6K

$145.6K

$218.7K

How much do machine learning object detection jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning object detection in San Leandro, CA is $145,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,700.00 and $175,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning object detection engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What are popular job titles related to Machine Learning Object Detection jobs in San Leandro, CA? For Machine Learning Object Detection jobs in San Leandro, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in San Leandro, CA look for? The top searched job categories for Machine Learning Object Detection jobs in San Leandro, CA are:
What cities near San Leandro, CA are hiring for Machine Learning Object Detection jobs? Cities near San Leandro, CA with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you
Infographic showing various Machine Learning Object Detection job openings in San Leandro, CA as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $145,554 per year, or $70 per hour.

Senior Staff TLM, Perception, Object Detection

Waymo

Mountain View, CA • On-site

$281K - $356K/yr

Full-time

Re-posted 6 days ago

Job description

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 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

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
$281,000-$356,000 USD

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