Research Scientist Intern,Machine Perception Input and Interaction; PhD Job Redmond area,Washington USA,Software Development

Position: Research Scientist Intern, Machine Perception for Input and Interaction (PhD)

Summary:

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.

Tracking of hands, bodies and objects and their interactions through machine learning, computer vision and sensor fusion
Egocentric human action recognition and emotion recognition
Hand motion sequence modeling for hand‑object interaction using deep generative models or physical simulation
Representation modeling (e.g., implicit, appearance, geometry) of hands, bodies and objects for fast simulation and tracking
Efficient deep learning (e.g., neural architecture search, sparsity, quantized networks)
Interaction design for hands, bodies and objects in virtual reality and augmented reality
Sensor fusion (e.g. of pressure, RF, EXG, IMU) with optical tracking
Efficient and generalizable detectors for predicting keypoints, segmentations, normals, and depth
Accurate and efficient 3D representations of deformable shapes such as clothing and hair

Responsibilities:

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

Design of user studies and experiments

Collaboration with other researchers across various disciplines

Communication of research agenda, progress, and results

Minimum Qualifications:

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

Experience in one or more of the following: computer vision (e.g. tracking, pose estimation, action/emotion recognition), computer graphics (e.g. appearance, geometry, physically‑based modeling), robotics (state estimation, optimal control), machine learning (e.g. efficient deep learning, domain adaptation, transfer learning), natural language processing, or human‑computer interaction

Excellent communication skills

High levels of creativity and problem solving capabilities

Experience with C++ or Python

Experience with ML frameworks such as PyTorch, Tensorflow, etc

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

Preferred Qualifications:

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

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

Experiences working on high volume multi‑sensor streaming data processing and real‑time multi‑sensor, in particular cameras, fusion for computer vision and machine learning systems

Experiences on optimizing and deploying deep learning models on SoC of mobile devices for high performance real‑time applications

Experience with Machine Learning for 3D data (such as meshes, point clouds, gaussian splatting, and voxels)

Experience with Machine Learning for Visual Synthesis

Public Compensation: $7,650/month to $12,134/month + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affﬁrmed Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

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Research Scientist Intern, Machine Perception Input and Interaction; PhD