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Machine Learning Object Detection Jobs in Gilroy, CA

Walmart

(USA) Staff, Data Scientist

San Jose, CA · On-site

$143K - $286K/yr

Apply machine learning, deep learning, and data mining techniques to develop robust predictive models for eCommerce fraud detection, financial services fraud detection, anomaly detection, and abusive ...

Deloitte

Cyber - SecOps - Consultant

San Jose, CA · On-site

Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies ...

VAST Data

Customer Support Engineer

San Jose, CA · On-site

You will also be involved in developing and testing and solutions in strategically and tactically significant applications and use cases, including file protocols, machine learning, object storage ...

Vectra

Director of AI

San Jose, CA · On-site

Vectra ® is the leader in AI-driven threat detection and response for hybrid and multi-cloud ... Lead and grow high-performing teams of AI engineers , machine learning engineers , and data ...

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · On-site

$223K - $268K/yr

Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies * Development of machine learning models * Partner with product and engineering team in implementing ...

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · Hybrid

$223K - $268K/yr

Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies * Development of machine learning models * Partner with product and engineering team in implementing ...

Walmart

Director, Product Management

San Jose, CA · On-site

$169K - $338K/yr

Champion the use of machine learning, graph intelligence, and decisioning platforms to continuously improve risk detection and decision accuracy. What you'll bring: * 12+ years of product management ...

Tenex.AI Inc

Staff AI Solutions Architect

San Jose, CA · On-site

... machine learning solutions that power our core MDR services. You will translate complex ... detection, risk scoring, and automation. Lead Technical Design & Prototyping: Creating high-level ...

Rivet Industries

ML Researcher

San Jose, CA · On-site

$150K - $290K/yr

Machine Learning Researcher Location: 2550 N First Street Suite 250, San Jose, California 95131 ... Feature detection/matching, optical flow, structure from motion, 3D reconstruction, SLAM algorithms

Ceribell, Inc

Senior/Staff Data Scientist

San Jose, CA

$184K - $200K/yr

... detection technology, come join the movement! Position Overview : We are looking for a talented ... Use time-series analysis, statistical signal processing and machine learning techniques to design ...

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Showing results 41-60

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.

Associate Fraud Risk Data Scientist

5 Star Global Recruitment Partners

San Jose, CA • On-site, Remote

$69K - $69K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Associate Fraud Risk Data Scientist

San Jose, California, United States

Associate Fraud Risk Data Scientist

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus.

We'd love to chat if you have:

  • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.
  • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
  • Experience using statistics and data science (machine learning & AI) to solve complex business problems
  • Proficiency in SQL, Python, AWS, Excel including key data science libraries
  • Proficiency in data visualization including Tableau
  • Experience working with large datasets
  • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau.
  • Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes
  • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.
  • Desirable to have experience or aptitude solving problems related to risk using data science and analytics
  • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

Key Job Functions:

  • Design and develop machine learning and AI models detect/mitigate fraud
  • Support stakeholders and cross-functional teams in effective usage of models
  • Drive AI transformation for all risk management activities at BILL
  • Work with product/engineering to implement, monitor and refine AI solutions and models

Expected Outcomes:

  • Work closely with team members and stakeholders to consult, design, develop, and manage fraud models and AI solutions.
  • Utilize data analysis to design and implement fraud models
  • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud models and AI solutions that operate at scale and in real time for end customers.
  • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.
  • Development of dashboard and visualizations to track KPI of fraud models implemented

Preferred Skills:

  • Machine Learning & Artificial Intelligence
  • Data Science
  • Model development
  • Dashboard Creation
  • Project Management
  • Strong Communication Skills.

Notes from Hiring Manager:

  • Strong SQL proficiency
  • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation
  • Proficiency in AWS Quicksight and Tableau
  • This is a hybrid position, so candidates must be based in the San Jose area. HM will entertain remote candidates if no viable local candidates can be sourced.
  • Strictly contract to cover multiple leaves over a 1 yr. period.
  • Potential to extend based on business need and performance.
  • Day shift: M-F Pacific time
  • Multiple Zoom interviews (2-3) SQL assessment during 1st interview.

MUST HAVE:

  • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.
  • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
  • Experience using statistics and data science (machine learning & AI) to solve complex business problems
  • Proficiency in SQL, Python, AWS, Excel including key data science libraries
  • Proficiency in data visualization including Tableau
  • Experience working with large datasets
  • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

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