Jobs

UX Research Scientist Intern, Multimodal Conversation Analyst (PhD)
Redmond, WA
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Conference budget
•Remote options
•Flexible work schedule
•Parental leave
•Creative environment
•Parental Leave
Required Skills
Adobe Creative Suite
Sketch
Principle
About Us
Meta builds technologies that help people connect, find communities and grow businesses.
Size: 10000+ employees
Industry: Engineering, Social Media, Technology
Meta Reality Labs Research is seeking a scholar of language and social interaction, or interpersonal communication, to conduct applied empirical research in complex social and relational contexts. The ideal candidate will address contemporary communication challenges-such as facilitating difficult or high-stakes conversations, managing conflict, providing social support, mediation, or negotiating relationships-across personal, professional, and community settings, both online and offline.As part of our world-class team, you will help build meaningful representations of user state and social standing using data from egocentric machine perception, supporting the next generation of contextual AI wearables, VR, and AR devices. You will collect and analyze rich behavioral datasets to advance our understanding of human experience, leveraging both qualitative and quantitative social science methods.We welcome applicants whose research intersects with or complements areas such as interpersonal communication, language and social interaction, health communication, organizational communication, communication and technology, computational social science, media studies, or information science. Your research program should be empirical, theory-driven, and communication-centered.
Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 24 consecutive weeks.
UX Research Scientist Intern, Multimodal Conversation Analyst (PhD) 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.
**Minimum Qualifications:Email Address
Send me The Muse newsletters for the best in career advice and job search tips.
Get jobs!
- 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, spa Cy, 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 Qualifications:
- 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
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 Whats App 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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,134/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Client-provided location(s): Redmond, WA
Job ID: a1KDp00000E2gsdMAB
Employment Type: INTERN
Posted: 2025-12-19T19:54:23
Apply on company site
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- FSA With Employer Contribution
- HSA
- HSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- Happy Hours
- Snacks
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Leave of Absence
Financial and Retirement
- 401(K)
- 401(K) With Company Matching
- Pension
- Company Equity
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Professional Development
- Learning and Development Stipend
- Promote From Within
- Mentor Program
- Shadowing Opportunities
- Access to Online Courses
- Lunch and Learns
- Internship Program
Diversity and Inclusion
Company Videos
Hear directly from employees about what it is like to work at Meta.
Apply on company site
Similar Jobs
Suggested Searches
internship jobsMeta jobsAll jobs
Search Additional Jobs
UX Research Scientist Intern Jobs in Redmond, WAJobs in Redmond, WA
Contact & Location
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Lead Applied Scientist, NLP
Thomson Reuters ·

2026 Summer Data Scientist Intern- Master's (Santa Clara, CA)
Applied Materials · Santa Clara, CA

Data Scientist - Fraud Strategic Analytics Associate
JPMorgan Chase · London, United Kingdom

Quantum Research Scientist Intern, Device and Architecture Theory, AWS Center for Quantum Computing
Amazon · Pasadena, CA, USA

Personal Robotics Group - Applied Scientist II Intern / Co-op - 2026 (Robotics, Manipulation, Locomotion, Controls, Reinforcement Learning, Perception, Manipulation, Planning, HRI and more)
Amazon · Sunnyvale, CA, USA
About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
News & Buzz
Tech Companies Are Still Spending Heavily on AI. Investors Want to See More Than Big Numbers. - Investopedia
Source: Investopedia
News
·
5w ago
Zuckerberg Says AI Is Letting One Employee Do the Work of Entire Teams - Business Insider
Source: Business Insider
News
·
5w ago
After losing $20 billion in 2025 alone in the business that Mark Zuckerberg changed company's name for, M - Times of India
Source: Times of India
News
·
5w ago
Meta and Microsoft both blew their data center budgets last quarter. Wall Street is only mad at one of them. - Business Insider
Source: Business Insider
News
·
5w ago