Visiting Researcher, Superintelligence Labs

Meta

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Key Responsibilities

• Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence.
• Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc).
• 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 intelligence.
• Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
• Build and benchmark new capabilities needed for the next generation of AI.
• Conduct research towards long-term research goals while identifying intermediate milestones.
• Execute on novel research based on long-term objectives of the organization.

Requirements & Tech Stack

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Qualifications

• Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
• Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware.
• Experience building systems based on machine learning and/or deep learning methods.
• Experience working and communicating cross-functionally in a team environment.
• Experience with manipulating and analyzing complex, large-scale, high-dimensionality data from varying sources.
• Currently has, or is in the process of obtaining a Master’s or PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience.
• Experience with deep learning frameworks (such as PyTorch, TensorFlow) and Python.
• Experience in relevant robotics-related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer, robotic control, manipulation, navigation, or generally embodied AI.