Meta Reality Labs Research is seeking a research intern to develop cutting-edge technologies for AR glasses by applying machine learning and AI methods to AR/VR input and interaction problems.
Requirements
3+ years of experience with scientific programming languages such as Python or C++
Experience with online and offline signal processing of biological time series data and sensor-fusion techniques
Research experience involving defining problems, exploring solutions, and analyzing and presenting results
Familiarity with AR/VR technologies and literature
Experience with biometric or biosignal modeling for real-time interactive scenarios (e.g., gesture recognition, action recognition)
Experience with machine learning and related frameworks, such as sklearn or Pytorch
At least one publication focused primarily on modeling
Responsibilities
Plan and execute cutting-edge research and design of novel adaptive algorithms for various sensory models.
Implement signal processing, classification, fusion, and confounder mitigation algorithms to develop systems that are robust, efficient, easily tunable, and yield seamless interactions.
Troubleshoot, debug, and upgrade existing software, contribute to code documentation and maintenance of the analysis pipeline.
Collaborate with the larger research team, present and share results with key stakeholders.
Advance the state of the art (SOTA) in sample-efficient modeling for understanding human cognition and action writ large.
Use SOTA models to deliver advances in downstream experiments or demos – it has to work in real life.
Successful internships may also lead to publishable outcomes in top-tier journals or at leading international conferences.
Other
Currently has, or is in the process of obtaining, a PhD in Computer Science, Electrical or Computer Engineering, Robotics, or relevant technical field
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Experience working and communicating cross functionally in a team environment
Availability for minimum 16 consecutive week internship
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, ICML, NeurIPS, ICLR, KDD, CHI, UIST or similar
