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Meta Research Jobs in California (NOW HIRING)

Meta

Research Manager

Burlingame, CA · On-site

$219K - $301K/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 ...

Meta

AI Research Manager

Menlo Park, CA · On-site

$219K - $301K/yr

Meta is seeking an AI Research Manager to lead teams of AI researchers and engineers advancing the frontier of artificial intelligence. In this role, you will drive the strategy, execution, and ...

Meta

Research Scientist, Optical Systems

Pasadena, CA

$122K/yr

Meta Reality Labs is seeking a Research Scientist, with experience in waveguide fabrication and process development, to advance optical systems research for next-generation augmented reality devices ...

Meta

Research Scientist, World Modelling

Menlo Park, CA · On-site

$154K - $217K/yr

Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team, one of the top industrial AI research organizations in the world. In this role, you will help build world models ...

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How much do meta research jobs pay per hour?

As of Aug 19, 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 is a meta research?

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 meta research?

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 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.

How to become a Meta Research scientist?

To become a Meta Research scientist, candidates typically need a strong background in computer science, machine learning, or related fields, often requiring a Ph.D. or equivalent experience. Relevant skills include programming in Python or C++, experience with data analysis, and familiarity with research tools and frameworks. Building a strong research portfolio and publishing in reputable conferences can also improve chances of selection.

What does a Meta Researcher do?

A Meta Researcher conducts studies and analyzes data related to social media platforms, user behavior, and technology trends to inform product development and strategy. They often use data analysis tools, statistical methods, and research methodologies to generate insights. The role requires strong analytical skills and familiarity with research software and data privacy standards.

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 August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $68,209 per year, or $32.8 per hour.

Research Manager

Meta

Burlingame, CA • On-site

$219K - $301K/yr

Full-time

Re-posted 25 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 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 the main pillars for interaction with the virtual and augmented world. Help us unleash human potential by removing the bottlenecks between user intent and action. Our team uses machine learning and statistical signal processing tools to advance our pioneering work building a practical, non-invasive wearable device that draws on rich neuromotor signals. We are a multi-disciplinary group of researchers and engineers who work closely with partner hardware, algorithms, and user experience teams to model and understand real-world use cases, set requirements for hardware performance, and develop software strategies to improve signal quality and product performance.
Responsibilities
Lead a team of research scientists and research engineers to deliver high-quality products and solutions
• Manage career guidance for the team through regular feedback and tracking performance
• Collaborate with cross functional teams including hardware, machine learning research and engineering teams to develop scalable systems to characterize sensor performance and their impact on product features
• Develop scalable methodologies and tools to simulate biophysical signals and their approximations
• Explore methods to improve ML models for product features by incorporating knowledge of sensor performance limitations
• Develop and implement engineering strategies to achieve product development targets
• Foster a work environment of continuous learning, growth and improvement
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Ph.D. in machine learning, AI, computer science, electrical engineering, statistics, applied mathematics, data science, signal processing, optimization or related technical fields
• 4+ years of experience in industry R&D in signal processing, sensor development, or related technical fields
• Experience defining research/technical direction for a team and to support the work of a small group of researchers towards those goals
Preferred Qualifications
• Experience with human-in-loop sensor/wearable biosensor development in consumer hardware space (e.g. biosensors or novel input devices such as electrocardiography (EKG/ECG), photoplethysmography (PPG), capacitive sensing, electromyography, etc)
• Demonstrated experience in managing technical teams including performance management
• Experience collaborating with multiple interdisciplinary and/or cross functional teams
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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