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Meta Research Internship Jobs (NOW HIRING)

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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How much do meta research internship jobs pay per month?

As of Jul 30, 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 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 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, and why are they important?

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 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.

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What cities are hiring for Meta Research Internship jobs? Cities with the most Meta Research Internship job openings:
What are the most commonly searched types of Meta Research jobs? The most popular types of Meta Research jobs are:
What states have the most Meta Research Internship jobs? States with the most job openings for Meta Research Internship jobs include:
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Meta Research Internship jobs near you
Infographic showing various Meta Research Internship job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 73% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $77,274 per year, or $37.2 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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