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Home Based Computer Engineer Jobs in New York (NOW HIRING)

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/yr

What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ... ML based vital sign extraction * Establish engineering best practices and help reduce technical ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117K - $138K/yr

What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ... ML based vital sign extraction * Establish engineering best practices and help reduce technical ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/yr

What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ... ML based vital sign extraction * Establish engineering best practices and help reduce technical ...

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Home Based Computer Engineer information

What is the difference between Home Based Computer Engineer vs Computer Technician?

AspectHome Based Computer EngineerComputer Technician
CredentialsTypically requires a degree in computer engineering or related certificationsOften certified in specific hardware or software areas, such as CompTIA A+
Work EnvironmentPrimarily works remotely from home, providing technical solutions online or via remote accessWorks on-site or in repair shops, handling hardware repairs and troubleshooting
Employer & IndustryFreelance, consulting firms, or remote IT service providersIT service centers, retail electronics stores, or repair shops

While both roles involve technical skills related to computers, a Home Based Computer Engineer typically works remotely providing design, troubleshooting, and consulting services, whereas a Computer Technician usually performs hands-on hardware repairs and maintenance on-site or in repair facilities.

Can I work from home as a Computer Engineer?

Home-based computer engineers can work remotely, especially in roles involving software development, network management, or technical support. They often need a reliable internet connection, appropriate hardware, and sometimes specific certifications or skills to perform their tasks effectively from home.

How can I make 2000 a week working from home?

Home based computer engineers can increase earnings by offering specialized services such as network setup, troubleshooting, or software development, often charging hourly or project-based rates. Building a strong client base, obtaining relevant certifications, and utilizing freelance platforms can help reach higher income levels, but earning $2000 weekly typically requires consistent work, advanced skills, and possibly multiple clients or projects.

How can I make $100,000 a year working from home?

Home Based Computer Engineers can reach a $100,000 annual income by gaining specialized skills in areas like cybersecurity, cloud computing, or network administration, often supported by certifications such as CompTIA or Cisco. Building a strong client base, offering freelance or consulting services, and maintaining a flexible schedule can also help increase earnings in this field.

What engineer makes $500,000 a year?

Highly experienced and specialized engineers, such as senior software engineers, data engineers, or engineering managers in tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires advanced skills, extensive experience, and working in high-paying industries or leadership roles.
What are the most commonly searched types of Computer Engineer jobs in New York? The most popular types of Computer Engineer jobs in New York are:
Home Based Computer Engineer jobs near you
Infographic showing various Home Based Computer Engineer job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Computer Vision Engineer

Meta

New York, NY

$154K/yr

Full-time

Posted 10 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 246 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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