Scientist Jobs in Pittsburgh, PA

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.We are looking for exceptional research interns to advance photorealistic telepresence and to create the next generation of embodied agents via human understanding and synthesis using VLMs, LLMs, and video models. 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 and embodied agents happen! Available projects may include, but are not limited to:- VLMs and LLMs for human understanding- Generative image and video models for photorealistic XR telepresence and embodied agents- Motion and behavior synthesis for digital humans and embodied agents- Speech-to-speech and audio-visual LLMs for natural multimodal interaction- Face and body reconstruction, tracking, and encoding of social signals for XROur internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Photorealistic Telepresence (PhD) Responsibilities:

• Solve research problems in enabling photorealistic telepresence and embodied agents
• Collaboration with and support of other researchers across various disciplines
• Communication of research agenda, progress, and results

Minimum Qualifications:

• Experience with solving “inverse problems” in imaging emphasizing modeling and algorithm development
• 2+ years of experience with Machine Learning for solving computer vision and computer graphics problems
• Experience with deep learning frameworks such as Pytorch and TensorBoard
• Experience with scientific programming languages such as Python
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

• 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
• Intent to return to a degree-program after the completion of the internship
• Experience working and communicating cross functionally in a team environment
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Experience with systems building in Python or C++
• Experience with large-scale generative models such as VLMs, LLMs, and image/video diffusion models
• Experience with Machine Learning for 3D data (such as meshes, point clouds, gaussian splatting, and voxels)
• Experience with Machine Learning for audio and visual synthesis

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.