Research Scientist Intern, Embodied AI (PhD)

Meta Platforms, Inc.; Seattle (WA); On-site; USD 85,374 - 126,476; Full time

Benefits offered by this job

Benefits included

Competitive salary

Job summary

Meta Platforms, Inc. is looking for Research Interns to join their Fundamental AI Research team at their Seattle location. Interns will engage in groundbreaking work, focusing on areas like embodied AI, robotics, and human-AI interaction to push technological frontiers.

Internships last 12 to 24 weeks with flexible start dates. The compensation ranges from $7,650 to $11,333 monthly, dependent on skills and experience.

Qualifications

• Currently pursuing or obtaining a PhD in relevant fields.
• Research experience in AI, robotics, computer vision, and machine learning.
• Experience with Python, C++, or related programming languages.
• Experience with deep learning frameworks.

Responsibilities

• Perform research to advance embodied AI technologies.
• Invent and improve methods for data-driven embodied intelligence.
• Investigate various data modalities for embodied reasoning.

Skills

Embodied AI

Robotics

Computer Vision

Machine Learning

Human-AI Interaction

Python

C++

Education

PhD in Artificial Intelligence or related fields

Tools

PyTorch

Job description

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.

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

• Currently in or 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

• Intent to return to the degree program after the completion of the internship.
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, and 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.

Compensation

$7,650/month to $11,333/month + benefits.

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.