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Machine Learning Object Detection Jobs in Gilroy, CA

WeRide.ai

General Software Engineer

San Jose, CA · On-site

$130K - $182K/yr

You will work with world-class experts in the field of mobility solutions and advance the state of the art in areas such as computer vision, sensor fusion, machine learning, object tracking, and ...

WeRide.ai

General Software Engineer

San Jose, CA

$130K - $182K/yr

You will work with world-class experts in the field of mobility solutions and advance the state of the art in areas such as computer vision, sensor fusion, machine learning, object tracking, and ...

Archer

Computer Vision Engineer

San Jose, CA · On-site

$140K - $260K/yr

... object detection, tracking, and precision landing capabilities * Design and implement deep-learning ... Strong background in computer vision and/or machine learning, with a degree in a related technical ...

WeRide.ai

General Software Engineer

San Jose, CA · On-site

$130K - $182K/yr

You will work with world-class experts in the field of mobility solutions and advance the state of the art in areas such as computer vision, sensor fusion, machine learning, object tracking, and ...

WeRide.ai

General Software Engineer

San Jose, CA · On-site

$130K - $182K/yr

You will work with world-class experts in the field of mobility solutions and advance the state of the art in areas such as computer vision, sensor fusion, machine learning, object tracking, and ...

Cisco

Machine Learning Engineer

San Jose, CA · On-site

Analyze data, develop, validate, and deploy machine learning models that drive measurable ... Knowledge of network automation and AI-based anomaly detection. * Familiarity with AI-driven DevOps ...

OKX

Staff Machine Learning Engineer

San Jose, CA · On-site

Design, build, and deploy machine learning models for risk use cases such as payment fraud, account takeover, scam detection, deposit and withdrawal risk, promotional abuse, customer risk assessment ...

OKX

Staff Machine Learning Engineer

San Jose, CA · Remote

Design, build, and deploy machine learning models for risk use cases such as payment fraud, account takeover, scam detection, deposit and withdrawal risk, promotional abuse, customer risk assessment ...

PayPal

Sr Machine Learning Engineer

San Jose, CA · On-site

$143K - $189K/yr

Develop different AI agents to automate workflow, detect live issues and provide fix suggestion ... . 3. Experience in machine learning (2 years). 4. Experience with the software development ...

PayPal, Inc.

Sr Machine Learning Engineer

San Jose, CA · On-site

$143K - $189K/yr

Develop different AI agents to automate workflow, detect live issues and provide fix suggestion ... . 3. Experience in machine learning (2 years). 4. Experience with the software development ...

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Gilroy, CA

Machine Learning Object Detection information

See Gilroy, CA salary details

$33.3K

$136.3K

$204.8K

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

As of Aug 12, 2026, the average yearly pay for machine learning object detection in Gilroy, CA is $136,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $164,000.00 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 job categories do people searching Machine Learning Object Detection jobs in Gilroy, CA look for? The top searched job categories for Machine Learning Object Detection jobs in Gilroy, CA are:
What cities near Gilroy, CA are hiring for Machine Learning Object Detection jobs? Cities near Gilroy, 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 Gilroy, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $136,270 per year, or $65.5 per hour.

Visual Intelligence and Machine Learning Research Scientist

Apple

San Jose, CA • On-site

Full-time

Re-posted 17 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, every service we deliver, is the result of us making each other's ideas stronger. Here, you'll do more than join something - you'll add something.
Our team sits at the intersection of computational neuroscience, visual intelligence, and AI, translating cutting-edge research directly into experiences that users see and feel every day. We prototype algorithms from first principles all the way through to shipping features, working hand-in-hand with app teams and designers so that the science we build has immediate, tangible impact on how people interact with Apple products. If you want your research to matter beyond a paper, this is where that happens.
Description
We are looking for a Visual Intelligence and Machine Learning Scientist who bridges computational neuroscience and modern AI. You will build models that reason about human visual attention, behavioral states, comfort, and perceptual salience from video and multimodal sensor streams. You will have a track record of original research contributions, a drive to deploy algorithms on real-world data, and the versatility to take an idea from exploratory research to polished user experience.
Minimum Qualifications
MS with 3+ years of research experience, in Computer Science, Biomedical Engineering, Computational Neuroscience, Applied Mathematics, or a related field, with a focus on computer vision or machine learning.
Demonstrated research contributions to visual intelligence or perceptual modeling, including peer-reviewed publications or equivalent industry impact.
Deep expertise in visual perception: saliency modeling, object detection and localization, optical flow, depth estimation, and multimodal learning including sensor fusion with IMU and temporal signals.
Strong hands-on experience training and deploying deep learning models using modern frameworks (PyTorch, TensorFlow, JAX) and Python scientific libraries (NumPy, OpenCV, scikit-learn).
Strong mathematical foundations in linear algebra, probability, optimization, and signal processing, with experience in large-scale dataset curation and evaluation methodology.
Excellent communication and collaboration skills; ability to thrive in a fast-paced environment alongside scientists, engineers, designers, and domain experts from the behavioral and cognitive sciences.
Preferred Qualifications
PhD in Computer Science, Biomedical Engineering, Computational Neuroscience, Applied Mathematics, or a related field, with a focus on computer vision or machine learning.
Experience with vision foundation models, vision transformers (ViT), and adapter-based fine-tuning for perceptual or behavioral downstream tasks.
Familiarity with generative AI and neural rendering approaches (diffusion models, implicit neural representations) as components of computational perception pipelines.
Background in computational modeling of perceptual or behavioral phenomena: modeling user state, comfort, visual salience, or behavioral response from video or sensor data.
Experience developing or deploying models for spatial computing platforms (AR/VR headsets, iOS, macOS).
Track record of shipping algorithms in resource-constrained, real-time on-device inference environments.
Ability to be versatile across a multi-faceted role, moving fluidly between deep research, engineering rigor, and direct collaboration with product and design teams to bring science to life in user-facing features.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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