Research Scientist Intern, Wearable Sensing & Human Motion Analysis

Research Scientist Intern, Wearable Sensing & Human Motion Analysis

Redmond, WA

Research

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The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR. The Surreal Vision group at RL Research is seeking exceptional Research Scientists to research and help build the egocentric machine perception functionalities and digital twins of 3D scenes that will underpin future VR and contextual-AI-enabled AR devices.

This internship focuses on developing a learned model for motion analysis for swing sports as an alternative to heuristic, threshold-based methods. Research goals include: improving analysis accuracy, generalization across players and equipment, and generating interpretable feedback outputs. The intern will contribute to egocentric data collection using the team's simulator research setup, in addition to model development.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 24 consecutive weeks.

Research Scientist Intern, Wearable Sensing & Human Motion Analysis Responsibilities

• Operate egocentric data collections on our state-of-the-art in-lab simulator - instrument participants with Aria Gen 2 and Neural Band wearables, run capture sessions, and use the simulator's ground-truth as supervision and validation signal for your models.
• Design and train models over multimodal egocentric time-series: Aria Gen 2 (SLAM/IMU, eye gaze, RGB) fused with Neural Band surface EMG and wrist IMU.
• Tackle the core modeling problems: temporal swing phase segmentation (address → takeaway → impact → follow-through), kinematic/intent estimation from a head-mounted and wrist-worn viewpoint, and swing-quality scoring.
• Build an evaluation harness that benchmarks the model against the existing threshold baseline on held-out players - accuracy, phase-boundary error, and cross-subject generalization.
• Define the capture and labeling protocol, and handle the realities of small, noisy, personalized datasets (self-supervised pretraining, augmentation, subject-adaptive fine-tuning).
• Integrate the winning model back into our prototype and demo it end to end.
• Write up results; strong work is a candidate for publication or an internal tech report.

Minimum Qualifications

• Currently has, or is in the process of obtaining a PhD degree in the domain of Computer Science, Electrical Engineering, Robotics, Biomechanics, or a related field
• Strong Python and hands-on experience training models in PyTorch
• Working knowledge of sequence/time-series modeling (temporal CNNs, transformers, state-space models, HMM/CTC-style segmentation)
• Experience working with real sensor data, not just curated benchmarks
• Comfortable running hands-on hardware experiments with human participants in a lab setting
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

• Experience designing and executing your own data collections with wearable or motion-capture hardware
• Research experience with IMU-based human activity recognition, pose/motion estimation, or wearable biosignals
• Experience with surface EMG: filtering, rectification, envelope extraction, electrode-shift and cross-session variability
• Familiarity with egocentric perception (Project Aria, Ego4D/Ego-Exo4D, Aria Digital Twin) or multimodal sensor fusion
• Background in sports biomechanics or motion analysis
• self-supervised or few-shot learning for personalization
• First-author publications at CVPR/ICCV/ECCV/NeurIPS/ICLR, or in biomechanics and wearables venues
• Plays swing sports - genuinely helpful for labeling and sanity-checking feedback
• Intent to return to a degree-program after the completion of the internship

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

United States of America: $7,650/month to $12,667/month + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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