Research Scientist Intern, Embodied AI (PhD)

Requirements

Currently has or is in the process of obtaining a Ph.D. degree in Artificial Intelligence, Robotics, or relevant technical field.
Research experience in embodied AI, robotics, computer vision, machine learning, human-AI interaction, and computer science.
Experience with Python, C++, C, or other related language.
Experience with deep learning frameworks such as PyTorch.
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
Intent to return to 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 first-authored publications at leading workshops or conferences Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV) and NLP (ACL, NAACL), or similar.
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 in computer vision, including core contributions to open source libraries and frameworks in computer vision.
Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
Experience solving analytical problems using quantitative approaches.
Experience setting up ML experiments and analyze their results.
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
Experience in utilizing theoretical and empirical research to solve problems.
Experience with deep learning frameworks.

Responsibilities

Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence.
Invent and/or improve novel data driven paradigms for embodied intelligence.
Explore and conceptualize ways to leverage various data modalities (images, video, text, 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 in VR to personal assistants in MR/AR to robots in physical spaces, and from short horizon, low level to long horizon, high level.
Enable long-horizon reasoning for Embodied AI tasks (navigation, mobile manipulation, instruction following, question answering, goal and intent prediction, egocentric activity recognition, 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.
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Publish research results and contribute to research that can be applied to Meta product development.

FAQs

What is the duration of the internship for the Research Scientist Intern position?

The internship lasts between twelve (12) to twenty-four (24) weeks.

What qualifications are required for the Research Scientist Intern position?

Candidates should be currently obtaining or have a Ph.D. degree in Artificial Intelligence, Robotics, or a relevant technical field, along with research experience in areas such as embodied AI, robotics, machine learning, and computer vision.

What programming languages should applicants be familiar with?

Applicants should have experience with Python, C++, C, or other related languages.

What deep learning frameworks are preferred for this internship?

Experience with deep learning frameworks such as PyTorch is preferred.

Are there any preferred qualifications for this position?

Yes, preferred qualifications include a proven track record of significant results in the form of publications, grants, or patents, experience building machine learning systems, and familiarity with deep learning methods in computer vision.

Will interns collaborate with other teams during their internship?

Yes, interns will collaborate with researchers and cross-functional partners, including communicating research plans, progress, and results.

What opportunities are there for publishing research during the internship?

Interns are encouraged to publish research results and contribute to advancements that can be applied to Meta's product development.

Is there an expectation to return to a degree program following the internship?

Yes, an intent to return to the degree program after completion of the internship is preferred.

How will work authorization be handled for this internship?

Candidates must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

What benefits does Meta offer to interns?

In addition to competitive compensation, interns at Meta receive various benefits, which can be explored in more detail on their benefits page.