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Meta · 1 day ago

UX Research Scientist Intern, Multimodal Conversation Analyst (PhD)

United States

Internship

Remote

Intern

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

Meta is a technology company focused on building immersive experiences to enhance social connections. They are seeking a UX Research Scientist Intern to conduct empirical research on language and social interaction, helping to advance machine perception and AI systems.

Computer Software

Comp. & Benefits

Responsibilities

Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception

Collaborate with other researchers and engineers across machine perception teams at Meta to develop AI systems

Work with the team to help design, setup, and run practical experiments and analyses related to large-scale high quality sensing and machine reasoning for the representation of social and behavioral primitives

You’ll own research end-to-end. This means you’ll navigate trade-offs while designing projects, proposing appropriate methodologies, analyzing data, and communicating results to diverse audiences in order to drive impactful decisions

Qualification

PhD in relevant fieldComputer-assisted language analysisPythonR proficiencyMachine perception modelsMultimodal dataset integrationData collection protocol designCommunication of findingsCollaboration in teams

Required

Currently pursuing a PhD in Human-Computer Interaction, Linguistics, Cognitive Science, Computer Science, Psychology, or a related field with a focus on social interaction or pragmatic language analysis

Demonstrated experience in computer-assisted analysis of language use, including qualitative and quantitative methods (e.g., conversation analysis, discourse analysis, NLP)

Proficiency in Python and/or R for data analysis, with experience using relevant libraries (e.g., NLTK, spaCy, pandas, scikit-learn)

Experience working with specialized datasets, such as: Social interaction recordings (audio/video), Interview transcripts, Device telemetry logs, Sensor streams (e.g., gaze tracking, gesture recognition, physiological data)

Familiarity with machine perception models that infer user attention, object handling, and interaction patterns from multimodal data

Ability to design and implement data collection protocols for behavioral and sensor data

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

Hands-on experience integrating and analyzing multimodal datasets, including behavioral, linguistic, and device-derived sensor streams

Experience with self-reported measures of cognitive load, stress, emotional valence, and arousal, and their integration with objective sensor data

Track record of publishing research in top-tier conferences or journals related to social interaction, language technology, or human behavior analysis

Experience developing or applying machine learning models to infer social, cognitive, or emotional states from complex, real-world data

Familiarity with tools and techniques for synchronizing and annotating multimodal data (e.g., ELAN, Praat, custom annotation pipelines)

Demonstrated ability to work collaboratively in interdisciplinary teams, communicating complex findings to both technical and non-technical audiences

Intent to return to one's degree program after completion of the internship