Website Meta
Responsibilities
Plan and execute cutting-edge research and design of novel adaptive algorithms for a variety of different sensory models.
Implement signal processing, classification, fusion, and confounder mitigation algorithms and 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.
Minimum Qualifications
Currently has, or is in the process of obtaining, a PhD in computer science, electrical or computer engineering, machine learning, state-estimation, robotics, or similar.
3+ years of experience with scientific programming languages such as Python or Matlab or similar.
Experience with experience with machine learning and related frameworks, such as sklearn or Pytorch.
Interpersonal skills: cross-group collaboration and cross-culture collaboration. Be able to clearly articulate ideas and goals.
Experience with online and offline signal processing of biological time series data and sensor-fusion techniques.
Excellent research skills involving defining problems, exploring solutions, and analyzing and presenting results.
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications
Familiarity with AR/VR technologies and literature.
Experience with biometric modeling for real-time interactive scenarios (e.g., gesture recognition, task inference).
Experience with state estimation and self-supervised learning.
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 [insert several top conferences that are relevant to the position – e.g. “CVPR, ECCV/ICCV, SIGGRAPH, or similar”].
Proven track record in the design of novel and fieldable algorithms that have been deployed in the real-world.
Intent to return to degree-program after the completion of the internship/co-op.
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.