Research Scientist Intern, Photorealistic Telepresence (PhD)
Burlingame, CAInternship$7,650–12,667/moSeen 3 days agoSeen in employer's feed 3 days ago
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Requirements
Credentials this posting asks for.
Job overview
Meta’s Human AI organization seeks a PhD research intern to help advance photorealistic telepresence in virtual reality. Projects may include image and video generation, model optimization, neural rendering, digital-human motion synthesis, social-signal encoding, and face, hand, body, or cloth reconstruction and tracking. The internship lasts 12 to 24 weeks, with start dates throughout the year.
Skills & qualifications
Skills
Qualifications
Full job description
Summary:
Meta’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.Our org, Human AI, is looking for exceptional research interns to help us create a revolution in virtual reality: achieving true photorealistic telepresence, where you can be with anyone, anywhere, at any time. We have made numerous important advances, and it will take a diverse team with a wide spectrum of skills to accomplish this future. If you have expertise in Artificial Intelligence, Computer Vision, or Computer Graphics, we expect you will find the work here highly intriguing. We regularly publish our work at leading conferences and journals.Come join us as we make photorealistic telepresence in VR happen! Available projects may include, but are not limited to:Diffusion based image and video generation modelsModel optimization and efficiencyNeural Rendering and relighting of digital humans Motion and behavior synthesis for digital humansVR/AR encoding of social signalsFace/Hand/Body/Cloth model reconstruction and trackingOur internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.
Required Skills:
Research Scientist Intern, Photorealistic Telepresence (PhD) Responsibilities:
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Solve research problems in enabling Photorealistic Telepresence
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Collaboration with and support of other researchers across various disciplines
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Communication of research agenda, progress, and results
Minimum Qualifications:
Minimum Qualifications:
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Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Computer Graphics, Robotics, Machine Learning, or related field
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Experience with solving “inverse problems” in imaging emphasizing modeling and algorithm development
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2+ years of experience with Machine Learning for solving computer vision and computer graphics problems
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Experience with deep learning frameworks such as Pytorch and TensorBoard
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Experience with scientific programming languages such as Python
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Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
Preferred Qualifications:
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Proven track record of achieving significant results as demonstrated by patents and first-authored publications at leading workshops or conferences such as ICCV, CVPR, NeurIPS, SIGGRAPH, ICASSP, or similar
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Intent to return to a degree-program after the completion of the internship
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Experience working and communicating cross functionally in a team environment
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Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
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Experience with systems building in Python or C++
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Experience with Machine Learning for 3D data (such as meshes, point clouds, gaussian splatting, and voxels)
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Experience with Machine Learning for Visual Synthesis
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Experience with hardware prototyping
Public Compensation:
$7,650/month to $12,667/month + benefits
Industry: Internet
Equal Opportunity:
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 [email protected].
How this job compares
Set against the 2,170 open Research Scientist jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$7,650–12,667/mo
- California median$183–273K/yr498 salary ranges
- US median$34–45/hr42 hourly ranges
- Openings
- Olive Jobs lists 723 open Research Scientist jobs in California and 2,170 across the US. 3% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 2 years of experience; Research Scientist postings that state a minimum ask for 4 years at the median (1,146 postings).
- Education
- This posting asks for a doctorate or professional degree; 774 of the 2,170 open Research Scientist jobs (36%) ask for a doctorate or professional degree.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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