Responsibilities
- Solve research problems in enabling photorealistic telepresence and autonomous social agents.
- Collaboration with and support of other researchers across various disciplines.
- Communication of research agenda, progress, and results.
Basic qualifications
- Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Computer Graphics, Robotics, Machine Learning, or related field
- Experience with solving “inverse problems” in imaging emphasizing modeling and algorithm development
- 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 LLMs and video diffusion models
- Experience with Machine Learning for audio and visual synthesis
About the company
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.
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.