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Meta Research Internship Jobs (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 Intern, AI Alignment

Boston, MA

$7.6K - $12K/mo

Meta is committed to advancing the field of artificial intelligence by making fundamental advances ... Our interns have an opportunity to make core algorithmic advances and apply their ideas at an ...

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Meta Research Internship information

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How much do meta research internship jobs pay per month?

As of Sep 9, 2026, the average monthly pay for meta research internship in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

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.
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Meta Research Internship jobs near you
Infographic showing various Meta Research Internship job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Research Internship

Redwood City, CA • On-site

DYNA Robotics Inc
See more jobs at DYNA Robotics Incexternal

Internship

Re-posted 2 days ago

Job description

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.
Internships
We are accepting applications for internships. While we have a very limited number of intern opportunities, we welcome applications in particular for research-focused internships at all levels.
At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect.
Don't let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you're passionate about robotics, no matter your discipline, we want to hear from you, even if you don't check every box.

Apply