Research Scientist • Intern

Who you are

You are a PhD student or recent graduate with a strong background in computer vision and machine learning — you have hands-on experience with generative modeling and are passionate about advancing human-centric interaction technologies. Your knowledge of sensor design and fusion, as well as human-computer interaction, sets you apart in this field. You are eager to apply your skills in a collaborative environment, working alongside a full-stack team to push the boundaries of virtual and augmented reality.

You have a solid understanding of tracking technologies for bodies, faces, and hands, and you are familiar with machine learning techniques that enhance these capabilities. Your experience includes egocentric human action recognition and emotion recognition, which are crucial for creating immersive experiences. You are also knowledgeable about representation modeling, including implicit, appearance, and geometry modeling, which are essential for fast simulation and tracking.

Your expertise extends to efficient deep learning practices, such as neural architecture search and quantized networks, which are vital for optimizing performance in real-time applications. You are interested in interaction design for hands, bodies, and objects in virtual and augmented reality, and you understand the importance of sensor fusion for human-centric use cases.

You are a proactive learner who thrives in a research environment, and you are excited about the opportunity to contribute to innovative projects that have the potential to shape the future of human interaction with technology. You are comfortable working with diverse sensors and conditioning signals to develop generative models for human motion and interactions.

Desirable

Experience with efficient and generalizable detectors for predicting keypoints, segmentations, normals, and depth would be a plus. Familiarity with accurate and efficient 3D representations of deformable shapes, such as clothing and hair, is also desirable. You are open to exploring new ideas and methodologies that can enhance the capabilities of virtual and augmented reality technologies.

What you'll do

As a Research Scientist Intern at Meta, you will join a dynamic team focused on creating the next generation of human-centric interaction technologies. Your primary responsibilities will include conducting research on tracking technologies for bodies, faces, and hands, utilizing machine learning and computer vision techniques to enhance interaction capabilities. You will collaborate with team members to develop generative models for human motion and interactions, leveraging diverse sensors and conditioning signals.

You will engage in representation modeling to create efficient simulations and tracking systems, contributing to the design of interaction frameworks for hands, bodies, and objects in virtual and augmented reality environments. Your work will involve sensor fusion techniques to integrate various data sources, ensuring accurate and responsive interactions.

You will have the opportunity to present your findings and contribute to the overall research direction of the team, helping to shape innovative solutions that improve user experiences in virtual and augmented reality. Your contributions will be instrumental in advancing the state of the art in human-computer interaction.

What we offer

Meta provides a collaborative and innovative work environment where you can grow your skills and contribute to cutting-edge research. You will have access to state-of-the-art resources and technologies, allowing you to explore your interests and make a meaningful impact in the field of human-centric interaction technologies. This internship offers a unique opportunity to work with leading experts in the industry and gain valuable experience in a fast-paced research setting.