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Google Machine Learning Computer Vision Google Jobs

Apple

Machine Learning/Computer Vision Engineer

Sunnyvale, CA · On-site

$130.90K - $154.30K/yr

Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans ...

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How much do google machine learning computer vision google jobs pay per year?

As of Jun 3, 2026, the average yearly pay for google machine learning computer vision google in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Google Machine Learning Computer Vision Google vs Data Scientist?

AspectGoogle Machine Learning Computer Vision GoogleData Scientist
Required CredentialsBachelor's or Master's in CS, ML, AI; experience with ML frameworksBachelor's or higher in CS, Statistics, or related field; data analysis skills
Work EnvironmentTech companies, research labs, AI-focused teamsVarious industries including tech, finance, healthcare
Industry UsageDeveloping computer vision models for products/servicesAnalyzing data to inform business decisions
Search & Comparison IntentFocus on ML and computer vision roles at GoogleBroader data analysis roles across industries

Google Machine Learning Computer Vision Google specializes in developing computer vision models using machine learning techniques within Google's ecosystem. Data Scientists analyze data to generate insights across various domains. While both roles require strong analytical skills, Google Machine Learning Computer Vision Google focuses on AI model development, whereas Data Scientists focus on data analysis and interpretation across industries.

Infographic showing various Google Machine Learning Computer Vision Google job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 17% Full Time, 79% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning & Computer Vision Developer

Machine Learning & Computer Vision Developer

Tommy's Express Car Wash

Holland, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

Machine Learning & Computer Vision Developer
Tommy Car Wash Systems is looking for a Machine Learning & Computer Vision Developer who enjoys building intelligent systems that operate in the real world. This role sits at the intersection of machine learning research and production software engineering. You will work on problems such as optical character recognition (OCR), license plate recognition, and CNN-based visual perception systems, while also helping design and deploy computer vision applications that run in live operational environments.
What can Tommy's offer you?
  • Base pay and eligibility for annual profit-sharing bonus

  • Full insurance package including Health, Dental, Vision, Life, Disability, Employee Assistance

  • Dependent Care FSA with on-site Daycare options

  • 401k match and complimentary financial planning services

  • Paid time off and paid holidays

  • Opportunity for continued education and tuition assistance

  • Valuable learning and development program

  • Significant ability to grow internally for motivated and strong performing team members

  • Fun, energetic, family-oriented work culture with an emphasis on team member morale

  • Growing nationwide brand / presence

Position Responsibilities:
  • Develop machine learning and computer vision systems for real-world applications.

  • Design, train, and evaluate CNN-based models for visual recognition tasks.

  • Build production software that integrates ML models into larger applications and pipelines.

  • Implement real-time or near-real-time processing of image and video data.

  • Prototype and test new approaches to perception problems using experimental data.

  • Contribute to data engineering tasks including dataset creation, labeling, and preprocessing.

  • Deploy models to edge devices or cloud infrastructure and maintain their performance in production.

  • Write clean, maintainable code using modern software engineering practices.

  • Collaborate with engineers, product teams, and stakeholders to translate operational needs into intelligent systems.

  • Other duties as assigned; duties and responsibilities may change at any time with or without notice.

Applied Machine Learning Systems:
  • OCR and license plate recognition pipelines

  • CNN-based detection and classification models

  • Retail or operational analytics derived from visual data

  • Data collection, labeling, and model evaluation workflows

Computer Vision Engineering:
  • Real-time video processing systems

  • Object detection, tracking, and environmental monitoring

  • Integration with camera hardware and edge compute devices

  • Production deployment and system optimization

Position Qualifications & Candidate Attributes:
  • Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or related field (or equivalent experience).

  • Strong programming skills in OOP language, preferably Python.

  • Experience with machine learning frameworks such as PyTorch or TensorFlow.

  • Experience working with computer vision or image processing techniques.

  • Solid understanding of software engineering fundamentals including version control, testing, debugging, and modular design.

  • Ability to move between rapid experimentation and production-grade development.

  • Views customer care as high priority; exhibits a positive can-do attitude

  • Displays a strong initiative and drive to identify gaps and fill them

  • Experience building OCR or license plate recognition systems.

  • Experience with convolutional neural networks for vision tasks.

  • Familiarity with OpenCV or similar image processing libraries.

  • Experience working with video pipelines or camera systems.

  • Experience deploying models to edge devices (Jetson, Coral, etc.).

  • Experience with Docker, Linux, and CI/CD workflows.

  • Familiarity with C++ or another performance-oriented language.

  • Experience working with cloud ML platforms or model lifecycle tools.

  • Experience with cloud platforms (AWS, Google Cloud, Azure etc).

  • Familiarity with Node.js, C++, JavaScript, and other programming languages.

  • Experience with PCs and camera hardware connections.

  • Technical savvy and proficient in Microsoft Office; experience within database systems a plus

  • Excellent written and oral communication skills

  • Process-oriented and strong collaborator with ability to communicate and manage well at all levels of the organization and across various departments

  • Strong organizational and time management skills; ability to multitask and prioritize workload

  • Highly adaptable with strong problem-solving and critical thinking skills; ability to exercise good judgment and make sound data-backed decisions

  • High level of integrity and dependability with a strong sense of urgency and results-orientation

Work Environment and Physical Demands:
Office: This job operates in a professional office environment. Office hours are Monday through Friday from 8:00am - 5:00pm. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and operates primarily indoors with limited to no travel expectation.
Overview of Tommy Enterprises Companies:
Tommy's Express is a national franchise for outstanding car washes and car care services. Powered by industry leading technology and decades of experience and planning, Tommy's Express car washes deliver a cutting-edge car wash experience unlike anything you've encountered before. Our fully automatic washes feature advances including the easy-loading car wash dual belt conveyor, wide open car wash bay for natural lighting, advanced presoak and sealer services, and free high-power self-serve vacuums on site.
Tommy's Express Operations consists of a number of corporately owned Tommy's Express car wash locations across the country. This is a quickly growing operation with intentions to open or acquire 3-5 new locations per year through the launch of Tommy's Express Capital, a new private fund strategy.
Tommy Car Wash Systems ("TCWS") is the power behind our Tommy's Express equipment. TCWS is a team of passionate car wash professionals working to create opportunities for our partners to become the best car wash operators they can be. We provide modular building designs, robust stainless-steel car wash equipment, an advanced Wash Club license plate reader system, the Tommy Transporter belt, high performance wash detergents, and an industry-leading franchise opportunity. At Tommy Car Wash Systems, we have a solution for almost any size operator. Our team has assisted in the development of hundreds of some of the most successful car washes around the world. Together, Tommy's Express and Tommy Car Wash Systems make up the Tommy's Corporate brand, headquartered in Holland, MI.

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