Research Scientist Intern, Multimodal Generative AI and Robotics (PhD)

Meta; Redmond; Sur place; AUD 123 000 - 204 000; Plein temps

Avantages offerts par ce poste

Benefits

Résumé du poste

Meta invites you to join Reality Labs Research as a Research Scientist Intern in Multimodal Generative AI and Robotics. The Surreal group seeks exceptional PhD candidates to advance egocentric AI, language-vision-action models, and large-scale training for context-aware robotic systems.

As an intern, you will tackle ambitious research challenges, work with cross-functional teams, and contribute to practical experiments and prototypes that push the state-of-the-art in contextual AI.

Qualifications

• Knowledge in deep learning, computer vision, graphics, generative modeling, LLMs and VLMs.
• Hands-on experience implementing deep learning algorithms, large-scale training, benchmark and evaluation.
• Experience working within Python environments such as PyTorch and in a Unix environment.

Responsabilités

• Plan and execute cutting-edge research and development to advance state-of-the-art in ML and large-scale training.
• Collaborate with researchers and engineers across machine perception teams to develop experiments and prototypes.
• Design, setup, and run practical experiments and prototype systems for large-scale sensing and machine reasoning.

Connaissances

Deep learning

Computer vision

Generative modeling

LLMs

VLMs

Python

Formation

PhD in CS/related field

Outils

PyTorch

Unix

Description du poste

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of contextual AI and robotics. The Surreal Vision group at RL Research is seeking exceptional Research Scientists to research and help build the egocentric machine perception functionalities that will underpin future contextual AI-enabled devices.The Surreal group at Reality Lab Research is seeking outstanding Research Scientist Interns to advance the frontier of egocentric AI. As an intern, you will tackle ambitious research challenges at the intersection of computer vision and natural language, contributing to the development of next-generation intelligent systems.Work with researchers to advance frontier generative AI in the following areas:-Develop unified predictive models that integrate language, vision, human motion, and actions.-Investigate techniques to enable long-horizon, consistent and physically grounded generation.-Benchmark against state-of-the‑art approaches in world modeling, video generation, and vision–language–action model.-Leverage multimodal generation to accelerate robot learning and control.- Build contextual and embodied AI models using large-scale egocentric multimodal datasetsOur internships are twelve (12) to twenty‑four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 24 consecutive weeks.

Research Scientist Intern, Multimodal Generative AI and Robotics (PhD) Responsibilities

• Plan and execute cutting‑edge research and development to advance the state‑of‑the‑art in machine learning and large‑scale training.
• Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state‑of‑the‑art contextual AI and robotic systems.
• Work with the team to help design, setup, and run practical experiments and prototype systems related to large‑scale high‑quality sensing and machine reasoning.

Minimum Qualifications

• Knowledge in deep learning, computer vision, graphics, generative modeling, LLMs and VLMs
• Hands‑on experience with implementing deep learning algorithms, large‑scale training, benchmark and evaluation
• Experience working within Python environments such as Pytorch
• Experience working in a Unix environment
• 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 grants, fellowships, patents, as well as first‑authored publications at top tier conferences such as CVPR, ECCV, ICCV, SIGGRAPH, ICLR and NeurIPS
• Strong track‑record of published research in the fields of LLMs, VLMs, video generation, world modeling, VLA, human motion modeling, policy learning, generative modeling etc
• Strong programming experience using python and pytorch
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Experience working and communicating cross functionally in a team environment
• Intent to return to a degree‑program after the completion of the internship

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 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 [e-mail].

$7,650/month to $12,667/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.