At a Glance
- Tasks: Join a cutting-edge team to develop motion analysis models for swing sports.
- Company: Meta Reality Labs, a leader in AR and VR innovation.
- Benefits: Gain hands-on experience, work with top researchers, and enhance your skills.
- Other info: Internships last 12-24 weeks with flexible start dates and great career growth.
- Why this job: Make an impact in the future of wearable tech and human motion analysis.
- Qualifications: PhD candidate in relevant fields with strong Python and model training skills.
The predicted salary is between 135000 - 165000 $ per year.
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.
- 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
- 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
Research Scientist Intern, Wearable Sensing & Human Motion Analysis in Redmond employer: Meta
Meta is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. As a Client Solutions Manager in the heart of a leading tech hub, you'll benefit from a culture that prioritises employee growth through continuous learning opportunities and access to cutting-edge technologies. With a commitment to diversity and inclusion, Meta empowers its employees to thrive while making a meaningful impact on advertisers' success across its platforms.
