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Meta Research Internship Jobs in California (NOW HIRING)

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K - $181K/yr

Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we ... internships, or widely adopted research implementations • Experience manipulating and analyzing ...

Meta

Research Scientist - Reality Labs

Sunnyvale, CA · On-site

$184K/yr

Reality Labs at Meta is seeking a Research Scientist with deep expertise in Large Language Models ... Demonstrated software engineering experience via internship, work experience, or widely used ...

Meta

AI Research Scientist, Robotics

Burlingame, CA · On-site

$219K/yr

At Meta, we're building the future of human connection and the technology that enables it. This ... Demonstrated research and software engineering experience via an internship, work experience ...

Meta

Research Scientist, ML H/W-SW Codesign

Sunnyvale, CA · On-site

$154K - $217K/yr

Meta is seeking a HW Research Scientist to join our Research and Development teams. The candidate ... internship, work experience, coding competitions, or widely used contributions in open source ...

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Meta Research Internship information

What is a Meta research internship?

A Meta Research Internship is a temporary position offered by Meta (formerly Facebook) for students or recent graduates interested in conducting research that advances the company's products and technologies. Interns work alongside experienced researchers and engineers, contributing to projects in fields such as artificial intelligence, virtual reality, data science, and social computing. The internship typically provides hands-on experience, mentorship, and opportunities to publish research or present findings. It is designed to help interns develop their skills and gain insight into research careers in the tech industry.

What are the key skills and qualifications needed to thrive as a Meta research intern?

To thrive as a Meta Research Intern, you need a solid foundation in research methodologies, data analysis, and subject matter expertise relevant to your field, often supported by current enrollment in a graduate program. Familiarity with statistical software (such as R or Python), data visualization tools, and experience with academic databases or experimental platforms is typically required. Strong communication, collaboration, and problem-solving skills help interns contribute effectively to team-based research projects. These skills are crucial for producing impactful research, efficiently managing data, and effectively sharing findings in a fast-paced, innovative environment.

What types of projects and research topics do interns typically work on during a Meta research internship?

Meta Research Interns are usually involved in cutting-edge projects that align with Meta's core initiatives, such as artificial intelligence, machine learning, human-computer interaction, and virtual/augmented reality. Interns often collaborate with teams of experienced researchers and engineers, contributing to experiments, data analysis, and prototype development. The topics and scope of work are tailored to both the intern's expertise and the team's goals, offering valuable opportunities to publish research, present findings, and see the real-world impact of their contributions. This collaborative environment allows interns to build professional networks and gain exposure to industry-leading technologies.

What is the difference between Meta Research Internship vs Meta Data Analyst Intern?

AspectMeta Research InternshipMeta Data Analyst Intern
Required CredentialsCurrently enrolled in or recent graduate in Computer Science, Data Science, or related fieldsEnrolled in or recent graduate in Data Analytics, Statistics, or related fields
Work EnvironmentResearch-focused, experimental projects, collaboration with research teamsData analysis, reporting, working with large datasets, collaboration with product teams
Employer & Industry UsagePrimarily research and development within Meta's AI and research divisionsData-driven decision making across Meta's platforms and products

The Meta Research Internship is centered on conducting research and developing new algorithms, often in AI and machine learning, while the Meta Data Analyst Intern focuses on analyzing data to inform business decisions. Both roles require strong technical skills but differ in their focus: research innovation versus data analysis and reporting.

How competitive are Meta Research Internships?

Meta Research Internships are highly competitive, attracting many applicants with strong academic backgrounds in fields like computer science, AI, and data science. Successful candidates typically have excellent technical skills, research experience, and a solid understanding of relevant tools and methodologies, making the selection process rigorous. Applicants often go through multiple interview rounds, including technical assessments and behavioral interviews, to secure a position.

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 Internship jobs in California?

For Meta Research Internship jobs in California, the most frequently searched job titles are:

What job categories do people searching Meta Research Internship jobs in California look for?

The top searched job categories for Meta Research Internship jobs in California are:

What cities in California are hiring for Meta Research Internship jobs?

Cities in California with the most Meta Research Internship job openings:

Meta Research Internship jobs near you
Infographic showing various Meta Research Internship job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Research Scientist, Machine Learning

Meta

Sunnyvale, CA

$122K/yr

Full-time

Posted 17 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we advance the foundational AI and ML technologies that power Meta's family of products at scale. In this role, you will conduct original research in areas such as deep learning, representation learning, generative modeling, optimization, and large-scale model architectures. You will collaborate closely with researchers and engineers across the organization to translate novel findings into real-world impact, publish at top-tier venues, and help shape the direction of machine learning research at Meta.
Research Scientist, Machine Learning Responsibilities:
  • Conduct original research in core machine learning areas including deep learning, representation learning, generative modeling, optimization, and large-scale model architectures
  • Design, implement, and evaluate novel ML algorithms and models using frameworks such as PyTorch, iterating based on experimental results and data-driven insights
  • Run controlled experiments to test research hypotheses, analyze outcomes, and make informed decisions in collaboration with research and engineering partners
  • Write clean, well-structured research code and contribute to shared codebases, ensuring reproducibility and maintainability of experiments
  • Produce and submit research findings to top-tier machine learning conferences and workshops such as NeurIPS, ICML, ICLR, or similar venues
  • Collaborate with cross-functional partners across research, engineering, and product teams to integrate research innovations into production systems at scale
  • Participate in code and design reviews, providing and incorporating technical feedback to improve research quality and implementation robustness
  • Build logging, monitoring, and evaluation pipelines to track model performance and detect regressions during research and deployment phases
  • Contribute to the health of the research community by participating in programs such as reading groups, research reviews, and onboarding support for incoming researchers

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Currently has, or is in the process of obtaining, a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related technical field. Degree must be completed prior to joining Meta
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • 2+ years of research experience in machine learning, including designing and implementing novel algorithms using deep learning frameworks such as PyTorch or TensorFlow
  • 2+ years of experience with Python or C++ for research and systems development in machine learning contexts
  • Experience conducting experiments to validate research hypotheses and communicating findings through written papers, technical reports, or presentations

Preferred Qualifications:
  • Demonstrated software engineering experience through open-source contributions, research internships, or widely adopted research implementations
  • Experience manipulating and analyzing large-scale, high-dimensional datasets for model training and evaluation
  • Research experience in one or more specialized areas including large language models, self-supervised learning, reinforcement learning, causal inference, graph neural networks, or ML systems and hardware-software co-design
  • Proven research contributions demonstrated by first-authored publications at leading venues such as NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, or similar conferences

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.
$122,000/year to $181,000/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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