Research Scientist Intern: Wearable Sensing & Motion

Meta; Redmond (WA); On-site; USD 55,000 - 83,000; Full time

Job summary

Meta's Reality Labs Research Surreal Vision internship focuses on developing a learned motion analysis model for swing sports, using egocentric data from Aria Gen 2 and Neural Band wearables. You will work on timing segmentation, pose estimation, and swing-quality scoring in a lab setting.

The twelve to twenty-four week program emphasizes hands-on data collection, model development, and evaluation against a baseline, with opportunities for publication or internal tech reports.

Qualifications

• PhD in CS/EE/Robotics or related field in progress or completed.
• Strong Python and PyTorch experience.
• Experience with sequence modeling and real sensor data.
• Willing to conduct hands-on experiments with participants.
• Authorized to work in US at time of hire.

Responsibilities

• Operate egocentric data collections with lab simulator and wearables.
• Design and train models over multimodal time-series data.
• Tackle swing-phase segmentation and swing-quality scoring.
• Build evaluation harness comparing to threshold baselines.
• Define capture/labeling protocols for small, noisy datasets.
• Integrate winning model into prototype and demo it end-to-end.
• Write results; potential for publication or internal report.

Skills

PyTorch

Python

Time-series modeling

Sensor data

Human testing

Work authorization

IMU data

Publications

Education

PhD in CS/EE/Robotics

Tools

Wearable sensors

Motion capture hardware

Aria Gen 2

Job description

Meta's Reality Labs Research Surreal Vision internship focuses on developing a learned motion analysis model for swing sports, using egocentric data from Aria Gen 2 and Neural Band wearables. You will work on timing segmentation, pose estimation, and swing-quality scoring in a lab setting.

The twelve to twenty-four week program emphasizes hands-on data collection, model development, and evaluation against a baseline, with opportunities for publication or internal tech reports.