Research Scientist Intern, Machine Learning for Human-Computer Interaction (PhD)

Meta - Redmond, WA

Full-time - Intern

Redmond, WA

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About the position

Meta Reality Labs Research is seeking a highly motivated and skilled research intern to join their team in developing cutting-edge technologies for AR glasses and VR headsets. The intern will focus on applying machine learning methods to enhance AR/VR input and interaction, collaborating with domain experts to work on projects involving modeling, human-in-the-loop experimentation, and the design of novel sensors and tracking algorithms. This role offers the opportunity to work with advanced technology and a diverse team, contributing to the development of robust sensor processing algorithms for wearables.

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 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.
• 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.

Requirements

• Currently has, or is in the process of obtaining, a PhD in computer science, electrical or computer engineering, machine learning, state-estimation, robotics, or relevant technical field.
• 3+ years of experience with scientific programming languages such as Python or Matlab or similar.
• 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.
• Interpersonal skills: cross-group collaboration and cross-culture collaboration.

Nice-to-haves

• Familiarity with AR/VR technologies and literature.
• Experience with biometric or biosignal modeling for real-time interactive scenarios (e.g., gesture recognition, task inference).
• Experience with machine learning and related frameworks, such as sklearn or Pytorch.
• Experience working directly with domain experts in non-ML fields, for example mechanical engineers or designers, neuroscientists, physicists, etc.
• Experience writing research software used by others, for example as part of an academic collaboration, an open-source project, or equivalent.

Benefits

• $7,500/month to $11,333/month compensation
• Access to cutting-edge technology and resources
• Collaboration with a diverse and interdisciplinary team
• Opportunities for publishable outcomes in top-tier journals or conferences