Apply on Employer Site

Meta · 9 hours ago

Research Scientist Intern, Multimodal AI for Human-Computer Interaction (PhD)

Redmond, WA

Internship

Onsite

Intern

$7,650/mo - $12,134/mo

3+ years exp

Meta is seeking a highly motivated research intern to join their Reality Labs Research team, focusing on developing advanced technologies for AR glasses. The intern will work on projects involving machine learning and AI methods for human-computer interaction, collaborating with a diverse team to create robust sensor processing algorithms.

Computer Software

Comp. & Benefits

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

Qualification

PythonC++Signal processingSensor-fusion techniquesMachine learning frameworksBiometric modelingResearch experienceCollaborationCommunication

Required

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

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

Availability for minimum 16 consecutive week internship

Preferred

Two or more first-authored publications in top ML or HCI conferences/journals

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

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

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

Experience working and communicating cross functionally in a team environment

Intent to return to a degree program after the completion of the internship/co-op