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Weekend Machine Vision Engineer Jobs in New York

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to ...

Computer Vision Engineer

New York, NY

$122K - $143K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

New

Control Engineer

Manhattan, NY · On-site

$91K - $118K/yr

Engineers in this position collaborate closely with clients, manage multiple projects, and ... and machine vision. You should be comfortable leading or supporting technical teams, mentoring ...

Control Engineer

Manhattan, NY · On-site

$91K - $118K/yr

Engineers in this position collaborate closely with clients, manage multiple projects, and ... and machine vision. You should be comfortable leading or supporting technical teams, mentoring ...

Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ... Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end ...

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team ... Top-tier health, vision, and dental insurance, including plans with $0 employee cost. * Unlimited ...

As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking ... From computer vision models that understand what is happening inside an oven to embedded AI systems ...

Degree in Robotics, Computer Vision, Electrical Engineering, Computer Science, or a related field * 5+ years of experience designing and deploying machine vision systems in robotics or automation ...

Perception Engineer

New York, NY · On-site

$175K - $225K/yr

Degree in Robotics, Computer Vision, Electrical Engineering, Computer Science, or a related field * 5+ years of experience designing and deploying machine vision systems in robotics or automation ...

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Weekend Machine Vision Engineer information

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.

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 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 most commonly searched types of Machine Vision Engineer jobs in New York? The most popular types of Machine Vision Engineer jobs in New York are:
Infographic showing various Weekend Machine Vision Engineer job openings in New York as of June 2026, with employment types broken down into 100% Full Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Computer Vision Engineer

Computer Vision Engineer

Meta

New York, NY

$154K/yr

Full-time

Posted 4 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

142nd of 217 rated software companies


Job description

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to lead projects on feature-based eye tracking and human eye simulation to power AR/VR eye tracking solutions in our products including the Quest line. This role collaborates with cross-functional teams on image simulation, core AI, computer graphics, machine vision research, and HW design. The immediate team for this role is composed of Computer Vision, Machine Learning and SW Engineers.
Computer Vision Engineer Responsibilities:
  • Lead development, refinement, and launch of CV/ML solutions for explicit and NERF-based simulation of eye and upper face images used in training of AR/VR eye tracking models and system evaluation
  • Explore, innovate, and leverage novel approaches, from internal and external sources, to improve the accuracy, performance, and generalizability of geometric and explicit optical models used in eye tracking pipelines
  • Contribute to data-driven and geometric modeling of eye imaging including NERF and Gaussian splatting for novel view synthesis, 3D graphical rendering of eye features, and classical feature and keypoint detection and extraction from eye and face images
  • Drive cross-functional collaborations with partner teams including but not limited to physics simulation, ML modeling, hardware development, and product design
  • Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and contractors

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Background in computer vision, classical image processing, and 2D/3D spatial data analysis
  • Experience with computer graphics, and physics-based/geometric modeling
  • Working knowledge of imaging systems and optics simulation
  • Direct background in machine learning, deep learning, neural networks and similar data-driven techniques
  • Experience mentoring and acting as project technical lead

Preferred Qualifications:
  • Experience with latest graphics techniques such as NERF and Gaussian splatting
  • Experience in eye and face simulation and image generation
  • Knowledge of eye tracking techniques and models
  • Master's or PhD in engineering, physics, or computer science
  • Background in AR/VR
  • Familiarity with procedural rendering engines, ray tracing, and path tracing

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.
$154,003/year to $217,000/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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