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Computer Vision Remote Jobs in Morgan Hill, CA (NOW HIRING)

ASUS Computer International

Payroll Specialist

Fremont, CA · On-site +1

$70K - $80K/yr

Hybrid: 3 days onsite / 2 days remote per week * Office environment requiring extended computer use ... Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&D ...

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Computer Vision Remote information

See Morgan Hill, CA salary details

$14

$23

$35

How much do computer vision remote jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for computer vision remote in Morgan Hill, CA is $23.78, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $26.59 per hour, depending on experience, location, and employer.

What is a computer vision remote?

A Computer Vision Remote job involves developing and implementing computer vision algorithms and models while working from a remote location. Professionals in this role work on tasks like image recognition, object detection, and video analysis using AI and machine learning. They collaborate with teams via online communication tools and use cloud platforms or local computing resources for model training. These jobs are common in industries like healthcare, robotics, and autonomous systems.

What are the key skills and qualifications needed to thrive in computer vision remote?

Success as a Computer Vision Remote professional requires expertise in computer vision algorithms, image processing, programming (Python/C++), and a degree in computer science or a related field. Familiarity with popular frameworks such as OpenCV, TensorFlow, or PyTorch, and sometimes certifications in AI or data science, are typically advantageous. Strong communication, self-motivation, and problem-solving skills help remote workers collaborate effectively across distributed teams. These competencies are crucial for delivering high-quality solutions, meeting project deadlines, and excelling in a remote-first work environment.

What are some common challenges faced by remote computer vision professionals, and how are they addressed?

Remote computer vision professionals often encounter challenges such as collaborating across different time zones, accessing large datasets securely, and maintaining consistent communication with onsite teams. These challenges are typically overcome by using version control systems like Git, cloud storage solutions, and regular video meetings to stay connected and ensure alignment. Teams also rely on detailed documentation and code reviews to maintain project quality and foster knowledge sharing. By adopting these best practices, remote professionals can contribute effectively and remain engaged with their team and projects.

What are popular job titles related to Computer Vision Remote jobs in Morgan Hill, CA?

For Computer Vision Remote jobs in Morgan Hill, CA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Remote jobs in Morgan Hill, CA look for?

The top searched job categories for Computer Vision Remote jobs in Morgan Hill, CA are:

What cities near Morgan Hill, CA are hiring for Computer Vision Remote jobs?

Cities near Morgan Hill, CA with the most Computer Vision Remote job openings:

Computer Vision Remote jobs near you
Infographic showing various Computer Vision Remote job openings in Morgan Hill, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $49,466 per year, or $23.8 per hour.

Staff AI Engineer - SimAI Team

General Motors

Sunnyvale, CA • On-site, Remote

$189K - $290K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,290 frontline employees who took The Breakroom Quiz

Job description

Job Description

As an AI Engineer on the team, you will build and deploy applied AI/ML solutions that directly supportsimulationworkflows, internal tools, and mission-critical engineering use cases. You willoperateat the full spectrum of innovation-from early exploration and rapid prototyping to shipping robust, maintainable production systems.

You will collaborate closely with simulation, scenario-generation, data, and engineering teams to uncover opportunities where AI can create value -then deliver solutions that meet clear customer and business success criteria.

We are looking for aStaff AI Engineerwitha strong applied research background. Ideal candidates have hands-on experience withstate-of-the-artmultimodal GenAI and/or3D reconstruction models, and excel at buildingrobust, high-performance inference pipelines. This role isnot focused on training foundation models, but rather onfinetuning, adapting,optimizing, evaluating, and shippingthem as production systems.

Minimum Qualifications

  • Master's degreerequired, PhD preferred, in CS, Robotics, EE, or related fields.

  • 8+ years of applied ML/AI engineering experience, with at least3+ years delivering production AI systems at scale.

  • Deep knowledge of at least one modern multimodal or 3D computer vision pipeline (e.g.,NeRF, Gaussian Splatting,world models,diffusion-based generation).

  • Hands-on experience building AI agents ortoolsanddeploying machine learning models in production.

  • Strong programming skills in Python, along with experience usingamodern ML/AI librarysuch asPyTorch, TensorFlow, OpenAI APIs,HuggingFace,gsplat, etc.

  • Solid understanding of ML fundamentals including data preprocessing, training pipelines, evaluation metrics, and model performance optimization.

  • Ability to move fluidly betweenresearch exploration and practical engineering.

  • Demonstrated ability to lead projects end-to-end with minimal guidance.

Preferred Qualifications

  • Provenexperience fine-tuning andoptimizingfoundation models(LLMs, VLMs, diffusion, 3D neural models).

  • Experience integrating models intosimulation pipelines, robotics systems, mapping workflows, or AVperceptionstacks.

  • Experience with scene understanding, or computational geometry

  • Background in 3D geometry, graphics, or sensor modeling.

  • Proficiencywith vector search/RAG systemsand embedding pipelines.

  • Familiarity with GCP or other cloud platforms, Kubernetes, Docker, and production observability.

  • Prior experience mentoring teams, defining architecture, and leading multi-quarter technical initiatives.

Compensation:

  • The expected base compensation for this role is: $189,300 - $290,700. Actual base compensation within the identified range will vary based on factors relevant to the position.
  • You also need to include general information about potential commissions, if applicable.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle:
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Remote:
This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View/Sunnyvale], you are expected to report to that location three times a week, at minimum.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Working at General Motors

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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