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Weekend Machine Vision Engineer Jobs in California

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture ... Computer Vision Engineer Responsibilities: * Own end-to-end development of gesture recognition ML ...

Cohu, Inc.

Vision Mechanical Engineer II

San Diego, CA · On-site

Design precision mechanical assemblies for industrial machine vision systems. Design camera mounts ... Generate complete engineering documentation including drawings, BOMs and ECOs. Support prototype ...

Nexxa.AI

AI Vision Engineer

San Francisco, CA · On-site

Nexxa is building the best AI systems for heavy industries -- enabling machines, systems and ... Role Overview We are looking for an AI Vision Engineer to help design, build, and deploy next ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture ... computer vision or machine learning, with focus on areas such as gesture recognition, pose ...

Cohu

Vision Mechanical Engineer II

San Diego, CA · On-site

$99K - $113K/yr

Design precision mechanical assemblies for industrial machine vision systems. * Design camera ... Generate complete engineering documentation including drawings, BOMs and ECOs. * Support prototype ...

Cohu

Vision Mechanical Engineer II

San Diego, CA · On-site

$99K - $113K/yr

Design precision mechanical assemblies for industrial machine vision systems. * Design camera ... Generate complete engineering documentation including drawings, BOMs and ECOs. * Support prototype ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

Develop, deploy and optimize machine learning algorithms for the radar system * Build software ... Excellent programming skills, especially in C/C++ and Python * Familiarity with common cloud ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

Develop, deploy and optimize machine learning algorithms for the radar system * Build software ... Excellent programming skills, especially in C/C++ and Python * Familiarity with common cloud ...

Observable Space

Computer Vision Engineer

Los Angeles, CA · On-site

$190K - $230K/yr

About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join ... Experience in machine learning model training using PyTorch or TensorFlow. * Experience in ...

Observable

Computer Vision Engineer

Los Angeles, CA · On-site

$120K - $141K/yr

About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join ... Experience in machine learning model training using PyTorch or TensorFlow. * Experience in ...

Observable Space

Computer Vision Engineer

Los Angeles, CA · On-site

$120K - $141K/yr

About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join ... Experience in machine learning model training using PyTorch or TensorFlow. * Experience in ...

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All JobsMachine Vision Engineer JobsWeekend Machine Vision Engineer JobsWeekend Machine Vision Engineer Jobs in California

Weekend Machine Vision Engineer information

What does a Weekend Machine Vision Engineer do?

A Weekend Machine Vision Engineer is responsible for developing, testing, and maintaining computer vision systems that enable machines to interpret and process visual data. This role typically involves working weekends to support production lines or R&D projects that need ongoing monitoring and updates outside of standard business hours. Key tasks include programming vision algorithms, integrating cameras and sensors, troubleshooting system issues, and collaborating with other engineers to improve automation and quality control processes. Weekend Machine Vision Engineers are commonly found in manufacturing, robotics, and quality assurance environments that require continuous technical support.

What are some common challenges faced by a Weekend Machine Vision Engineer, and how can they be addressed?

As a Weekend Machine Vision Engineer, you may encounter challenges such as troubleshooting unexpected equipment malfunctions, adapting to rapidly changing production needs, and working with limited on-site support compared to weekday shifts. To address these, it's important to develop strong problem-solving skills, stay up-to-date with the latest software and hardware updates, and maintain clear documentation for seamless communication with weekday teams. Proactively coordinating with colleagues during shift handovers and leveraging remote support resources can also help ensure smooth operations and minimize downtime.

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

To excel as a Weekend Machine Vision Engineer, you typically need a background in computer vision, image processing, and a degree in engineering, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with machine vision libraries (such as OpenCV or Halcon), and knowledge of industrial camera systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure the development and maintenance of reliable vision systems that support high-quality automation and manufacturing processes during critical weekend operations.

What is the difference between Weekend Machine Vision Engineer vs Weekend Robotics Technician?

AspectWeekend Machine Vision EngineerWeekend Robotics Technician
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of image processing and programmingAssociate's or Bachelor's in Robotics, Electronics, or related field; hands-on technical skills
Work EnvironmentTech labs, manufacturing facilities, or research centers focusing on vision systemsManufacturing floors, maintenance workshops, or field service settings
Industry UsageManufacturing, automation, quality controlManufacturing, assembly lines, equipment maintenance

The Weekend Machine Vision Engineer primarily focuses on developing and implementing vision systems for automation and quality control, requiring programming and image processing skills. In contrast, the Weekend Robotics Technician handles maintenance and troubleshooting of robotic systems, emphasizing hands-on technical skills. Both roles are essential in manufacturing environments but differ in their focus and daily tasks.

How much do weekend machine vision engineers make?

Weekend machine vision engineers typically earn between $25 and $50 per hour, depending on experience, location, and the complexity of projects. Compensation may also include benefits such as flexible scheduling and opportunities to work with advanced imaging tools and programming languages like Python or C++.

What cities in California are hiring for Weekend Machine Vision Engineer jobs?

Cities in California with the most Weekend Machine Vision Engineer job openings:

Weekend Machine Vision Engineer jobs near you

Computer Vision Engineer

Burlingame, CA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$183K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

140th of 247 rated software companies

Job description

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role bridges research and production—you'll take ML models from development through deployment, collaborating across teams to ship gesture-based interactions on Quest and Meta Glasses. This is not a pure research position; we're looking for someone who thrives at turning cutting-edge ML into real products that reach millions of users.
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 teams including research, hardware, product, and platform engineering to integrate models into shipping products
  • Optimize ML models for on-device performance, balancing accuracy, latency, and power constraints
  • Partner with Reality Labs Research (RL-R) to translate research breakthroughs into production-ready solutions
  • Define technical direction and mentor engineers on ML productization best practices

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, 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 such as gesture recognition, pose estimation, or object tracking
  • Experience with model optimization for edge/on-device deployment
  • Track record of cross-functional collaboration to deliver ML-powered features

Preferred Qualifications:
  • Experience deploying ML models on edge devices
  • Experience with gesture recognition, hand tracking, or human pose estimation
  • Background in real-time inference, model compression, or quantization techniques
  • 5+ years of industry experience in machine learning or computer vision
  • MS or PhD in Computer Science, Machine Learning, Computer Vision, or related field
  • Publication track record at conferences such as CVPR, NeurIPS, ECCV, ICCV, ICML

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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