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

Remote, USA Full-time
Note: The job is a remote job and is open to candidates in USA. Meta is a technology company focused on connecting people and creating immersive experiences. The Research Scientist Intern will work on cutting-edge research in machine learning and computer vision, collaborating with teams to develop innovative AI and robotic systems. 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 Skills Currently has, or is in the process of obtaining a PhD degree in the domain of computer-vision, computer graphics, 3D machine perception or deep learning 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 Preference for 24 week full time internship Intent to return to a degree-program after the completion of the internship 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 Benefits Benefits Company Overview Meta's mission is to build the future of human connection and the technology that makes it possible. It was founded in 2004, and is headquartered in Menlo Park, CA, US, with a workforce of 10001+ employees. Its website is
Apply Now

Similar Jobs

Criminal Justice Program Clerkship

Remote, USA Full-time

Summer Banding and Outreach Tech

Remote, USA Full-time

[Remote] Regional Director - Bill Glass Ministries

Remote, USA Full-time

Online Adjunct -- Life Sciences (General Biology)

Remote, USA Full-time

Remote Diagnostic Audiologist

Remote, USA Full-time

Artist

Remote, USA Full-time

[Remote] US Freelance Art Community

Remote, USA Full-time

Media Manager (Remote)

Remote, USA Full-time

Contract Graphic Designer (Service-Based Beauty Brand)

Remote, USA Full-time

Biology Research Specialist; Remote, PhD

Remote, USA Full-time

**Experienced Customer Support Specialist – Virtual Chat Moderator for arenaflex**

Remote, USA Full-time

Experienced Customer Service Representative – Flexible Hours, Excellent Communication, and Problem-Solving Skills for Exceptional Customer Experience at Blithequark

Remote, USA Full-time

Academic Advisor - College of Letters and Sciences

Remote, USA Full-time

**Experienced Data Entry Specialist – Flexible Work-from-Home Opportunity with arenaflex**

Remote, USA Full-time

Experienced Remote Work Professional - Flexible Work From Home Opportunities in the UK with Comprehensive Training and Support

Remote, USA Full-time

Part-Time (34 hours/week) Data Entry Claims Intake Processor for Dynamic Team at blithequark

Remote, USA Full-time

Engineering Manager, Machine Learning, Model Evaluations and Data Curation (AI Foundations)

Remote, USA Full-time

**Experienced Virtual Customer Care Representative – Delivering Exceptional Service from the Comfort of Your Home**

Remote, USA Full-time

Experienced Customer Care Manager for Remote US Operations – Leading Exceptional Customer Service and Team Performance

Remote, USA Full-time

Data Privacy, AI Risk Management SME

Remote, USA Full-time
Back to Home