Meta AR/VR Job | Research Engineer Intern – Interaction Tracking | Oculus

Job(岗位): Research Engineer Intern – Interaction Tracking | Oculus

Type(岗位类型): Artificial Intelligence | Engineering, Machine Learning, Research

Citys(岗位城市): Redmond, WA

Date(发布日期): 2023-2-28


Reality Labs (RL) teams are looking for exceptional interns to help us create next generation interaction technologies for virtual and augmented reality. Join a full-stack team working on computer vision, machine learning, geometric and appearance modeling, physically-based modeling, sensor design and fusion, and human computer interaction. We are accepting applications from those interested in (but not limited to) the following areas:

Tracking of hands, bodies and objects and their interactions through machine learning, computer vision and sensor fusion.

Egocentric human action recognition using multimodal sensory data.

Representation modeling (e.g. implicit, appearance, geometry) of hands, bodies and objects for fast simulation and tracking

Physical simulation of soft contact, deformation models for grasp

Sensor fusion (e.g. of pressure, RF, EXG, IMU) with optical tracking

Efficient deep learning and neural architecture search

Interaction design for hands, bodies and objects in virtual reality and augmented reality


Excellent communication skills

Experience with C++ or Python

Experience with ML frameworks such as PyTorch, Tensorflow, etc.

Currently has, or is in the process of obtaining, a PhD degree in EE/CS, Applied Math or a related STEM field

Interpersonal experience: cross-group and cross-culture collaboration

Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment


Design and execution of algorithms in the domain of computer vision, machine learning, computer graphics, sensor fusion, or HCI software and hardware prototyping

Opportunity to design user studies and experiments

Collaboration with other researchers across various disciplines

Communication of research agenda, progress, and results

Additional Requirements(额外要求)

High levels of creativity and problem solving capabilities

Proven track record of achieving significant results as demonstrated by first-authored publications or implementation of substantial software systems

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, BMVC, NeurIPS, ICML, ICLR, ICRA, IROS, RSS, CHI or SIGGRAPH/SIGGRAPH Asia

Experience in one or more of the following: Computer vision (e.g. tracking, pose estimation, action recognition), computer graphics (e.g. appearance, geometry, physically-based modeling), robotics (state estimation, optimal control) and machine learning (e.g. neural architecture search, domain adaptation, transfer learning), or human-computer interaction.

Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Intent to return to degree-program after the completion of the internship/co-op