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Computer Vision Engineer Jobs in Alameda, CA (NOW HIRING)

Reliance One

Computer Vision Engineer

Mountain View, CA · On-site

$70 - $75/hr

Computer Vision Engineer Location: Mountain View, California (On-site) Employment Type: Contract Opportunity Pay: $70.00-$75.00/hour Schedule: Full-time Benefits: Medical Benefits Begin Day 1, Paid ...

CTC USA, LLC

Computer Vision Engineer

Mountain View, CA · On-site

$130K - $154K/yr

Computer Vision Engineer - Advanced Development & Planning Location: Mountain View, CA Duration: Long Term About CTC: Founded in 1996, CTC is a global IT services, Consulting and Business Solutions ...

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment * Partner ...

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

Computer Vision Engineer Responsibilities: * Own end-to-end development of gesture recognition ML models from prototyping to production deployment on AR/VR devices * Collaborate with cross-functional ...

BrightAI Corporation

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Computer Vision Engineer - Perception & 3D Type: Temporary Duration: 6-12 months What You'll Gain * Exposure to the full CV pipeline, from raw data and annotation to deployed model * Mentorship from ...

Meta

Computer Vision Engineer

Sunnyvale, CA

$183K/yr

Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment * Partner ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

... Computer Engineering, Machine Learning, or equivalent practical experience • Experience shipping ML models to production • Background in computer vision or machine learning, with focus on areas ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$125K - $148K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role brid.

Meta

Computer Vision Engineer

Burlingame, CA

$125K - $148K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

Meta

Computer Vision Engineer

Sunnyvale, CA

$130K - $154K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

Stryker

Senior Computer Vision Engineer

Menlo Park, CA · On-site

$116K - $193K/yr

Skilled in at least one programming language used in Computer Vision (e.g. Python and/or C++) Preferred Qualifications: * Experience with common AI/ML tools and frameworks such as PyTorch, PyTorch ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Alameda, CA

Computer Vision Engineer information

See Alameda, CA salary details

$55K

$137.7K

$155.8K

How much do computer vision engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for computer vision engineer in Alameda, CA is $137,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,400.00 and $149,000.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
More about Computer Vision Engineer jobs
What job categories do people searching Computer Vision Engineer jobs in Alameda, CA look for? The top searched job categories for Computer Vision Engineer jobs in Alameda, CA are:
What cities near Alameda, CA are hiring for Computer Vision Engineer jobs? Cities near Alameda, CA with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Alameda, CA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $137,721 per year, or $66.2 per hour.
Computer Vision Engineer

Computer Vision Engineer

Reliance One

Mountain View, CA • On-site

$70 - $75/hr

Full-time

Medical, Vision, PTO

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

Job description

Computer Vision Engineer

Location: Mountain View, California (On-site)

Employment Type: Contract Opportunity

Pay: $70.00-$75.00/hour

Schedule: Full-time

Benefits: Medical Benefits Begin Day 1, Paid Time Off, Paid Holidays


Position Overview

Reliance One, Inc. is seeking an innovative Computer Vision Engineer to develop next-generation AI-powered perception systems for intelligent mobility and automotive applications. This role focuses on researching, prototyping, and deploying advanced computer vision and machine learning solutions using state-of-the-art AI technologies. The ideal candidate is passionate about transforming cutting-edge research into real-world applications that power the future of connected and autonomous vehicles.


Key Responsibilities

  • Develop proof-of-concept systems using state-of-the-art AI and computer vision technologies.
  • Design and implement computer vision algorithms for object detection, tracking, semantic and instance segmentation, 3D scene understanding, visual localization, mapping, driver and occupant monitoring, and behavior recognition.
  • Build AI solutions utilizing Vision Transformers (ViT), Vision-Language Models (VLMs), Multimodal AI, Foundation Models, Self-Supervised Learning, and Generative AI.
  • Evaluate and adapt emerging AI research and open-source models for automotive and intelligent mobility applications.
  • Integrate camera, vehicle, and sensor data to develop AI-driven perception systems.
  • Develop and deploy AI software on embedded and edge computing platforms for in-vehicle applications.
  • Design real-time perception systems optimized for compute, latency, memory, power consumption, and reliability.
  • Optimize AI models for deployment on automotive SoCs, GPUs, and AI accelerators.
  • Prototype and evaluate end-to-end AI solutions on embedded hardware, research vehicles, and proof-of-concept platforms.
  • Collaborate with researchers, software engineers, and systems engineers to deliver innovative AI solutions.
  • Stay current with advancements in computer vision, multimodal AI, edge AI, and intelligent transportation technologies.


Required Qualifications

  • Master's degree or higher in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related technical field.
  • Strong background in Computer Vision and Machine Learning.
  • Hands-on experience with PyTorch, TensorFlow, OpenCV, or similar frameworks.
  • Experience implementing and training deep learning models including CNNs, Transformers, Vision Transformers (ViT), Vision-Language Models (VLMs), and multimodal architectures.
  • Strong programming experience in Python and C++.
  • Experience reproducing and extending published AI and computer vision research.
  • Familiarity with Linux development environments.
  • Excellent verbal and written communication skills.


Preferred Qualifications

  • Experience with Foundation Models, Large Vision Models, and Multimodal AI systems.
  • Experience with technologies such as CLIP, Segment Anything (SAM), DINOv2, BEV-based perception models, or similar cutting-edge vision architectures.
  • Experience with Generative AI and synthetic data generation.
  • Embedded Linux software development experience.
  • Experience with CUDA, TensorRT, ONNX Runtime, OpenVINO, or other inference optimization frameworks.
  • Experience deploying AI models on edge devices and automotive computing platforms.
  • Familiarity with NVIDIA Jetson, NVIDIA DRIVE, Qualcomm Snapdragon Ride, or similar embedded AI platforms.
  • Experience with ROS/ROS2, sensor fusion, robotics, or autonomous vehicle systems.
  • Automotive, robotics, autonomous systems, or intelligent transportation industry experience.
  • Publications in leading AI, robotics, or computer vision conferences are a plus.


Why Join This Opportunity?

  • Competitive pay of $70-$75/hour.
  • Medical benefits beginning on Day 1.
  • Paid Time Off and Paid Holidays.
  • Opportunity to work on cutting-edge AI, computer vision, and autonomous mobility technologies.
  • Collaborative environment focused on innovation and advanced research.
  • Contribute to the future of intelligent transportation and next-generation automotive systems.


Reliance One, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.


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