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 ...
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Santa Clara, CA · On-site
$131K - $155K/yr
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Senior Full Stack Software Engineer - CAD Infrastructure Team
Santa Clara, CA · On-site
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Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.
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Sunnyvale, CA · On-site
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Exponent is the only premium engineering and scientific consulting firm with the depth and breadth ... Electronic and computer laboratory testing * Reporting that clearly illustrates and explains ...
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Quick apply
Computer Vision & Machine Learning Engineer - All Levels
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Computer Engineering information
See Santa Clara, CA salary details
$56.5K - $65.9K
0% of jobs
$65.9K - $75.4K
0% of jobs
$75.4K - $84.8K
7% of jobs
$84.8K - $94.2K
0% of jobs
$94.2K - $103.7K
0% of jobs
$103.7K - $113.1K
1% of jobs
$113.1K - $122.5K
0% of jobs
$128K is the 25th percentile. Wages below this are outliers.
$122.5K - $131.9K
28% of jobs
$131.9K - $141.4K
1% of jobs
$141.4K - $150.8K
0% of jobs
The median wage is $152.6K / yr.
$150.8K - $160.2K
62% of jobs
$56.5K
$141.6K
$160.2K
How much do computer engineering jobs pay per year?
What are the key skills and qualifications needed to thrive as a computer engineer?
What is computer engineering?
What is the job of a computer engineer?
What is the difference between Computer Engineering vs Computer Science?
| Aspect | Computer Engineering | Computer Science |
|---|---|---|
| Required Credentials | Bachelor's in Computer Engineering or related field | Bachelor's in Computer Science or related field |
| Work Environment | Hardware and software development, embedded systems, device design | Software development, algorithms, data structures, theoretical computing |
| Employer & Industry Usage | Tech companies, hardware firms, embedded systems companies | Software firms, research institutions, tech startups |
| Common Search & Comparison | Yes | Yes |
Computer Engineering focuses on designing and developing hardware and embedded systems, combining electrical engineering and computer science principles. Computer Science emphasizes software development, algorithms, and theoretical aspects of computing. While both fields overlap, Computer Engineering leans more toward hardware integration, whereas Computer Science centers on software and programming.
How do computer engineers typically collaborate with other departments in a tech company?

Meta rating
7.8
Based on 45 frontline employees who took The Breakroom Quiz
136th of 242 rated software companies
Job description
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 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.
About Meta
Sourced by ZipRecruiter
Industry
Internet and it, media and telecom and software development
Company size
10,000+ Employees
Headquarters location
Menlo Park, CA, US