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Meta

Research Scientist - Reality Labs

New York, NY

$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

Research Scientist - Reality Labs

New York, NY · On-site

$184K - $257K/yr

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

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As of Jun 29, 2026, the average hourly pay for meta internships in the United States is $20.81, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.84 per hour, depending on experience, location, and employer.

What are Meta Internships?

Meta Internships are paid work experiences offered by Meta (formerly Facebook) to students and recent graduates interested in various fields such as software engineering, data science, product management, design, and more. These internships typically last 12 to 16 weeks and provide interns with the opportunity to work on real projects, collaborate with experienced professionals, and gain hands-on experience in the tech industry. Interns also benefit from mentorship, networking events, and access to learning resources. Meta Internships are highly competitive and are available in multiple locations worldwide.

What types of projects do Meta interns typically work on, and how do these projects contribute to the company's goals?

Meta interns are often assigned to impactful, real-world projects that align with the company's strategic objectives in areas like software engineering, data analysis, product design, and research. Interns collaborate closely with full-time employees, participate in team meetings, and contribute code or insights that may be integrated into live products or services. The work environment is fast-paced and collaborative, giving interns the opportunity to learn from experienced professionals while making meaningful contributions. These projects not only help develop technical and professional skills but also allow interns to see the tangible impact of their work within Meta.

What are the key skills and qualifications needed to thrive as a Meta Intern, and why are they important?

To thrive as a Meta Intern, you generally need strong analytical abilities, problem-solving skills, and relevant academic coursework in your field of interest, such as computer science, business, or design. Familiarity with Meta's tech stack, programming languages (like Python or JavaScript), and collaborative tools (such as GitHub or Slack) is often expected, and having relevant certifications can be advantageous. Strong communication, adaptability, and a proactive attitude help interns stand out by enabling effective teamwork and initiative. These skills are essential for contributing meaningfully to projects, learning quickly, and making a positive impression in a highly competitive environment.
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Infographic showing various Meta Internships job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 5% Part Time, 1% Temporary, and 1% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $43,288 per year, or $20.8 per hour.
Research Scientist Intern, State Estimation for Dexterous Manipulation (PhD)

Research Scientist Intern, State Estimation for Dexterous Manipulation (PhD)

Meta

Redmond, WA

Internship

Posted 14 days ago

Key responsibilities

  • Design and implement latent space representations for object physical state during robotics manipulation tasks.

  • Design and execute controlled experiments to validate the representations, measuring adaptation speed, property decoding fidelity, and downstream control performance against baselines.

  • Benchmark the latent state representation on practical dexterous manipulation tasks.

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

124th of 192 rated software companies

Job description

At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of natural, seamless experiences in XR environments that are effective, enjoyable, and functionally indistinguishable from those in the real world.As a Research Scientist Intern, you will work at the intersection of representation learning, physics-based estimation, and robotic manipulation. Your primary focus will be on developing latent space representations of object physical state with learned, high-dimensional embeddings that can capture time-varying object properties during dexterous manipulation. You will design experiments to validate these representations and demonstrate their value in practical multi-sensory setup and applications.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, State Estimation for Dexterous Manipulation (PhD) Responsibilities:
  • Design and implement latent space representations for object physical state during robotics manipulation tasks that go beyond fixed parameter sets.
  • Design and execute controlled experiments to validate the representation: measuring adaptation speed, property decoding fidelity, and downstream control performance against baselines (no object state, explicit physical parameters, raw sensor history).
  • Benchmark the latent state representation on practical dexterous manipulation tasks.
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
  • Showcase the value in simulated or physical demos.

Minimum Qualifications:
  • Currently has or is in the process of obtaining a Ph.D. degree in Robotics, Machine Learning, Computer Science, or relevant technical field
  • Strong background in representation learning, generative models, or neural implicit representations (e.g., Gaussian splatting, NeRF, structured latent variable models)
  • Experience with physics-based estimation, state estimation, or system identification in robotic or dynamical systems (e.g. Bayesian filtering, online adaptation, or meta-learning for system identification)
  • Experience with Python and PyTorch
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Experience with tactile sensing, force/torque sensors, or robot hand manipulation
  • Familiarity with model-based control (MPC), reinforcement learning, or imitation learning for manipulation
  • Experience with Bayesian filtering, online adaptation, or meta-learning for system identification
  • Experience with experimental design and statistical evaluation of robotic systems
  • Experience working and communicating cross functionally in a team environment
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI), or similar
  • Intent to return to the degree program after the completion of the internship/co-op

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.
$7,650/month to $12,134/month + 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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