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Machine Learning Object Detection Jobs in Santa Clara, CA

XPENG

Staff Machine Learning Engineer

Santa Clara, CA · On-site

About the Role We are looking for a strong Machine Learning Engineer / Computer Vision Engineer to ... Solid understanding of object detection training workflows, including dataset preparation ...

XPENG

Staff Machine Learning Engineer

Santa Clara, CA · On-site

About the Role We are looking for a strong Machine Learning Engineer / Computer Vision Engineer to ... Solid understanding of object detection training workflows, including dataset preparation ...

Cover

AI Engineer, Weapon Detection

San Jose, CA · On-site

... Train machine learning and deep learning models on a computing cluster to carry out visual ... with object detection and classification using point cloud data from radar or lidar • Strong ...

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 ...

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Design, train, and optimize innovative machine learning models for LiDAR/camera perception and multi-sensor fusion (e.g., object detection/classification, image classification, semantic segmentation ...

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Santa Clara, CA

Machine Learning Object Detection information

See Santa Clara, CA salary details

$37K

$151.2K

$227.3K

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

As of Aug 18, 2026, the average yearly pay for machine learning object detection in Santa Clara, CA is $151,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $182,000.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Machine Learning Object Detection jobs in Santa Clara, CA?

For Machine Learning Object Detection jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Object Detection jobs in Santa Clara, CA look for?

The top searched job categories for Machine Learning Object Detection jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Machine Learning Object Detection jobs?

Cities near Santa Clara, 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 Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $151,231 per year, or $72.7 per hour.

Data Scientist - Computer Vision

SPAR Information Systems LLC

Santa Clara, CA • On-site

Contractor

Re-posted 24 days ago

Job description

Client Job Description: Title: Data Scientist -- Computer Vision
Location: Onsite – Santa Clara, CA
Job Description/ Important details:
1. Solid knowledge of image processing: Filtering, Binary Morphology, Perspective / Affine transformation, Edge Detection
2. Machine Learning: Regression, Supervised and Unsupervised Learning,
3. Knowledge of HDR and Deep Learning object detection.
Job Description:
Additional Sills: Machine Learning,Regression,Binary,Pca