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Meta Research Internship Jobs (NOW HIRING)

Meta

AI Research Scientist, Robotics

Redmond, WA

$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 ...

Nace AI

Research Engineer

Palo Alto, CA · On-site

... particularly in meta-learning or parameter-efficient adaptation, as evidenced by grants ... internships, or contributions to open-source projects. • First-authored publications on language ...

Nace AI

Research Engineer

Palo Alto, CA · On-site

Proven research and engineering experience with LLMs/VLMs, particularly in meta-learning or parameter-efficient adaptation, as evidenced by grants, fellowships, patents, internships, or contributions ...

Titan Brands, Inc.

Marketing Internship

Henderson, NV · On-site

$15 - $18/hr

... Meta Ads and Google PPC - Learn audience targeting, budget allocation, A/B testing, and campaign ... market research to inform campaign planning - Assist in maintaining brand asset libraries and ...

Titan Brands, Inc.

Marketing Internship

Las Vegas, NV · On-site

$15 - $18/hr

... Meta Ads and Google PPC - Learn audience targeting, budget allocation, A/B testing, and campaign ... market research to inform campaign planning - Assist in maintaining brand asset libraries and ...

Titan Brands, Inc.

Marketing Internship

Las Vegas, NV · On-site

$15 - $18/hr

... Meta Ads and Google PPC - Learn audience targeting, budget allocation, A/B testing, and campaign ... market research to inform campaign planning - Assist in maintaining brand asset libraries and ...

Titan Brands, Inc.

Marketing Internship

Las Vegas, NV · On-site

$15 - $18/hr

... Meta Ads and Google PPC - Learn audience targeting, budget allocation, A/B testing, and campaign ... market research to inform campaign planning - Assist in maintaining brand asset libraries and ...

Coolframes

Marketing Internship

Richmond, IL · Remote

... keyword research, on-page content recommendations, product/category page optimization, blog or ... Meta/Facebook, Instagram, Google Business Profile, TikTok, and other relevant channels. • Create ...

4theweb

Internship

Littleton, CO · On-site

$15 - $20/hr

On-page SEO: keyword density, meta tags, NAP listing, LSI keywords, site structure * Adobe After ... PPC: keyword research, quality score optimization, remarketing, reporting & analytics * Google My ...

4Theweb

Internship

Littleton, CO · On-site

$15 - $20/hr

On-page SEO: keyword density, meta tags, NAP listing, LSI keywords, site structure Adobe After ... research, quality score optimization, remarketing, reporting & analytics Google My Business: page ...

Samaya AI

ML Research Intern

Mountain View, CA · On-site

The primary focus of this internship is to conduct novel research that advances these fields, with ... Built by a team from Google DeepMind, Meta, Microsoft, and Stanford with 100+ papers and 50k ...

Armadin

Frontend Engineer, Internship

Palo Alto, CA · On-site

$75/hr

... researchers and engineers from Google, xAI, Meta, Stanford, and MIT to reinvent security for an ... We're a small, fast-moving team, so interns get real ownership: you'll work across the stack, from ...

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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 10, 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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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.

AI Research Scientist, Robotics

Redmond, WA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$219K/yr

Full-time

Re-posted 3 days ago

Key responsibilities

  • Perform fundamental and applied research to advance embodied artificial intelligence.

  • Invent and improve data-driven paradigms for robotics using various modalities such as images, video, text, audio, and tactile data.

  • Develop algorithms based on machine learning and neural network methodologies to support robotics and AI functionalities.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

140th of 247 rated software companies

Job description

At Meta, we’re building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. We’re seeking a Research Scientist ready to use their skills in system design and modeling and with a knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization.
AI Research Scientist, Robotics Responsibilities:
  • Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
  • Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc.)
  • Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
  • Develop algorithms based on state-of-the-art machine learning and neural network methodologies
  • Define, build and benchmark new functionality needed for the next generation of AI
  • Conduct research towards long-term product goals while identifying intermediate milestones
  • Lead, plan, and execute novel research based on long-term objectives of the organization

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
  • Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or Large Language Models
  • 5+ years of industry experience in relevant robotics related research areas, such as: Vision Language Models robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI

Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
  • 7+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience building systems based on machine learning and/or deep learning methods
  • Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
  • Experience working with robot simulations and real-world hardware
  • Experience working and communicating cross functionally in a team environment

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.
$219,000/year to $301,000/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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