Summary: Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.Meta AI is seeking Research Interns to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as embodied AI, robotics (navigation, manipulation), AR/VR/MR, egocentric computer vision, grounded 3D perception, simulation and sim2real transfer, pre-training for embodied agents from offline data, and human-AI interaction, using background knowledge from foundational areas such as deep learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.Required Skills: Research Scientist Intern, Embodied AI (PhD) Responsibilities:
Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence.
Invent/ improve novel data driven paradigms for embodied intelligence.
Explore, and conceptualize ways to leverage various data modalities (images, video, text, audio, tactile, etc) and the roles they play in various levels of embodied reasoning and decision making.
Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short horizon, low level to long horizon, high level.
Enable long-horizon reasoning for Embodied AI tasks (navigation, mobile manipulation, instruction following, collaboration with humans) in human environments given natural-language instructions, like “clean up the house”, or “where are my glasses”.
Enable low-level skills for Embodied AI tasks (broad dexterous and functional manipulation, rigid to deformable objects in-hand to against the environment) in a generalizable manner.
Minimum Qualifications: Minimum Qualifications:
Currently has, or is in the process of obtaining, a PhD in Artificial Intelligence, Robotics, or related fields.
Currently has, or is in the process of obtaining, a PhD in Artificial Intelligence, Robotics, or related fields.
Research experience in embodied AI, robotics, computer vision, machine learning, human-AI interaction, and computer science.
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
Experience with Python, C, C, or other related language.
Experience with deep learning frameworks such as PyTorch.
Preferred Qualifications: Preferred Qualifications:
Intent to return to the degree program after the completion of the internship/co-op.
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV) and NLP (ACL, NAACL).
Experience building systems based on machine learning and/or deep learning methods.
Experience working and communicating cross functionally in a team environment.
Experience in advancing AI techniques, including core contributions to open source libraries and frameworks.
Experience solving analytical problems using quantitative approaches.
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
Experience in utilizing theoretical and empirical research to solve problems.
Public Compensation: $7,650/month to $11,333/month + benefitsIndustry: InternetEqual 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].