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Meta Research Jobs in California (NOW HIRING)

Meta

Research Manager

Burlingame, CA

$219K/yr

Meta is seeking a Research Scientist Manager with expertise in product-focused signal processing and sensor development to help us create novel wearable devices and algorithms that will become one of ...

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How much do meta research jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for meta research in California is $32.79, according to ZipRecruiter salary data. Most workers in this role earn between $19.54 and $42.14 per hour, depending on experience, location, and employer.

What are the typical challenges faced by professionals working in Meta Research?

Professionals in Meta Research often encounter challenges such as synthesizing large volumes of complex and sometimes conflicting scientific literature, ensuring data quality across diverse studies, and maintaining objectivity throughout the review process. Additionally, staying updated with rapidly evolving research methodologies and publication standards can be demanding. Working collaboratively with multidisciplinary teams and effectively communicating nuanced findings to both technical and non-technical audiences are also key aspects of the role. These challenges make the work dynamic but also intellectually rewarding for those passionate about advancing scientific knowledge and improving research integrity.

What is a Meta Research job?

A Meta Research job involves studying the research process itself, analyzing methodologies, biases, reproducibility, and overall scientific practices to improve the quality and reliability of research. Meta researchers assess existing studies, identify patterns, and suggest improvements for greater transparency and accuracy. They often work in academia, industry, or policy-making to enhance evidence-based decision-making.

What are the key skills and qualifications needed to thrive in the Meta Research position, and why are they important?

To thrive in Meta Research, you need strong skills in research methodology, data analysis, and a solid academic background in fields such as epidemiology, statistics, or the social sciences. Familiarity with statistical software (such as R or SPSS), systematic review tools, and experience publishing in peer-reviewed journals are commonly expected. Critical thinking, attention to detail, and effective written and verbal communication are vital soft skills for success. These competencies enable accurate evaluation and synthesis of scientific studies, ensuring high-quality evidence to inform best practices and policy decisions.

What are the most commonly searched types of Meta Research jobs in California? The most popular types of Meta Research jobs in California are:
What are popular job titles related to Meta Research jobs in California? For Meta Research jobs in California, the most frequently searched job titles are:
What job categories do people searching Meta Research jobs in California look for? The top searched job categories for Meta Research jobs in California are:
What cities in California are hiring for Meta Research jobs? Cities in California with the most Meta Research job openings:
Meta Research jobs near you
Infographic showing various Meta Research job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 27% As Needed, 63% Full Time, 6% Part Time, and 3% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $68,209 per year, or $32.8 per hour.

Research Scientist, ML H-W/S-W Codesign

Meta

Sunnyvale, CA

$154K/yr

Full-time

Posted 13 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 246 rated software companies

Job description

Reality Labs (RL) focuses on delivering Meta's vision through Virtual Reality (VR), Augmented Reality (AR) and Wearable AI Devices. The compute performance and power efficiency requirements of our AI devices require custom silicon. Reality Labs Silicon team is advancing research and development in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will unlock personalized on-device AI capabilities and blend virtual, physical worlds on wearable devices. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms.Meta's Research & Development teams are looking for a Research Scientist who will invent and productize advanced AI model–hardware codesign techniques. Working at the intersection of AI models, hardware acceleration, and software systems, you will tackle complex, high-impact challenges in Reality Labs, developing novel approaches to compute- and power-efficient training and on-device inference of vision and language models for AR, VR, and edge devices. This role is available in multiple locations.
Research Scientist, ML H-W/S-W Codesign Responsibilities:
  • Identify and solve multi-discipline ML acceleration problems involving algorithms, network design, hardware architecture, multimodal AI and AR/VR use cases. These may involve novel approaches not yet established in the industry
  • Work across hardware and software, to solve co-design problems with other Research scientists working in this area
  • Codesign and invent novel ML accelerator and system architecture solutions, and facilitate the integration of algorithms and software to utilize these enhancements
  • Develop state-of-the-art model compression and scalability techniques using Numerics, pruning, distillation etc
  • Optimize models on hardware accelerators to achieve target performance given various real time latency and power constraints
  • Influence partners to adopt recommended solutions through data-driven analysis and clear communication of trade-offs
  • Define use cases, and develop methodology & benchmarks to evaluate different approaches
  • Apply in-depth knowledge of how the ML acceleration interacts with the other systems around it
  • Attend conferences, interpret papers, and stay updated with latest research advancements in the field of ML acceleration
  • contribute to patents and/or publications in peer-reviewed conferences and journals

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Electrical Engineering, Computer Science, or relevant technical field, or equivalent practical experience
  • PhD in Electrical Engineering, Computer Science, or equivalent experience
  • Experience developing AI-System infrastructure, AI algorithms or AI hardware acceleration in C/C++ or Python

Preferred Qualifications:
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience working and communicating cross-functionally in a team environment
  • Demonstrated research and engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience with PyTorch, TensorFlow or similar machine learning toolsets
  • Experience or knowledge of training/inference of Large scale AI models - CV and/or LLMs
  • Experience or knowledge of architecting ML hardware accelerators and systems
  • Experience evaluating alternative system or algorithm designs by analyzing trade-offs in performance, power, and latency to recommend a solution
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as ICLR, NeurIPS, CVPR, ACL, ICML, MLSys, ISCA, MICRO, DAC, ASPLOS etc
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience or knowledge of on-device algorithm development including hardware-aware ML models and/or optimizing ML compilers for efficient deployment on AI accelerators

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.
$154,000/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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