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Reality Lab Meta Jobs in Fremont, CA (NOW HIRING)

Sensor Hardware Engineer

Sunnyvale, CA · On-site

$173K - $245K/yr

Meta Reality Labs is building products that make it easier for people to connect with the ones they ... design of experiments and lab testing • Perform static, dynamic, structural and thermal ...

Meta Reality Labs is building products that make it easier for people to connect with the ones they ... Generate analytical models of subsystems and validate them through design of experiments and lab ...

EMC Design Engineer

Sunnyvale, CA · On-site

$173K - $245K/yr

... lab to correlate simulation results and improve design flow • Use simulation and lab data to ... Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to ...

Use simulation and lab data to support design troubleshooting and propose corrective actions, drive ... Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to ...

Network Hardware Engineer

Menlo Park, CA · On-site

$144K - $204K/yr

... lab environments using oscilloscopes, protocol analyzers, and network test equipment • Partner ... Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to ...

Drive hardware bring-up, debug, and qualification of prototype network systems in lab environments ... Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to ...

At Meta Reality Labs we aim to bring together the cross-disciplinary minds in one place to deliver ... lab measurements and factory tests as needed to validate the design and resolve any issues • ...

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How much do reality lab meta jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for reality lab meta in Fremont, CA is $24.66, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $26.59 per hour, depending on experience, location, and employer.

What is Reality Labs at Meta?

Reality Labs is a division of Meta (formerly Facebook) focused on developing virtual reality (VR), augmented reality (AR), and other advanced technologies to create immersive digital experiences. The team works on products like Meta Quest (formerly Oculus), Meta Portal, and other hardware and software projects designed to connect people in new ways. Reality Labs aims to build the foundational technologies for the metaverse—a shared, persistent virtual space where users can interact with each other and digital environments. Their work includes cutting-edge research in computer vision, artificial intelligence, and spatial computing.

How does a Reality Lab Meta team member typically collaborate with cross-functional teams to develop new AR/VR technologies?

As a member of the Reality Lab Meta team, you'll frequently work alongside engineers, designers, product managers, and researchers to develop cutting-edge AR/VR technologies. Collaboration is highly interdisciplinary, with regular brainstorming sessions, design reviews, and prototype testing. Open communication and a willingness to share expertise are essential, as projects often require input from hardware, software, and user experience perspectives. This collaborative environment not only accelerates innovation but also provides team members with continuous learning opportunities and exposure to diverse technical skills.

What are the key skills and qualifications needed to thrive as a Reality Labs engineer at Meta, and why are they important?

To thrive as a Reality Labs Engineer at Meta, you need a strong background in computer science, software engineering, or related fields, often backed by a relevant degree. Expertise in programming languages (such as C++, Python), 3D graphics engines, and AR/VR development platforms, as well as familiarity with hardware integration, are typically required. Creativity, problem-solving abilities, and strong collaboration skills set top performers apart in this innovative environment. These skills ensure the successful design and implementation of cutting-edge immersive technologies that drive the company's AR/VR initiatives forward.

What are popular job titles related to Reality Lab Meta jobs in Fremont, CA?

For Reality Lab Meta jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Reality Lab Meta jobs in Fremont, CA look for?

The top searched job categories for Reality Lab Meta jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Reality Lab Meta jobs?

Cities near Fremont, CA with the most Reality Lab Meta job openings:

Infographic showing various Reality Lab Meta job openings in Fremont, CA as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 11% Part Time, and 11% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $51,300 per year, or $24.7 per hour.

AI Research Scientist - Meta Superintelligence Labs (Technical Leadership)

Meta

Menlo Park, CA • On-site

$219K - $301K/yr

Full-time

Posted 15 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies


Job description

Meta is seeking Research Scientists to join the Product and Applied Research organization within MSL (Meta Superintelligence Lab). This role requires industry experience working on LLM post-training and the ability to apply relevant AI techniques to build intelligent rich language systems that improve Meta's products and experiences.
Responsibilities
Help advance the science and technology of intelligent machines
• Work on research projects, strategies, and problems of moderate to high complexity and scope. Identify and define both short- and medium-term objectives
• Influence progress of relevant research communities by producing publications
• Establish strong connection with cross-functional partners and contribute research with the goal of applying to Meta's product development
• Lead and collaborate on research projects within a team
• Design policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systems
• Apply in-depth knowledge of how the machine learning system interacts with the other systems around it
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
• Proven track record of recent and consistent publication/citation history
• Experience leading a team in solving modeling problems using AI/ML approaches
• Experience in applying research to production problems
• Experience communicating research for public audiences of peers
Preferred Qualifications
• 4+ years of experience conducting AI research post PhD
• 4+ years of experience as a tech lead in leading complex technical projects from end to end
• Experience working on frontier-quality/ state-of-the-art Large Language Models
• Experience bringing machine learning-based products from research to production
• First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI)
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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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