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Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Meta

Research Scientist Intern, Monetization Generative AI - LLM (PhD)

3+ months ago• Bellevue, WA
Viewed on February 1, 2026
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About Us

Meta builds technologies that help people connect, find communities and grow businesses.

Size: 10000+ employees
Industry: Engineering, Social Media, Technology

View Company Profile:

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Monetization Generative AI - LLM (PhD) Responsibilities:

Perform research to advance the science and technology of intelligent machines
Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
Analyze and improve efficiency, scalability, and stability of various deployed systems
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
Publish research results and contribute to research that can be applied to Meta product development

Minimum Qualifications:

Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Experience with Python, C++, C, Java or other related language
Experience with deep learning frameworks such as Pytorch or Tensorflow
Experience building systems based on machine learning, deep learning methods, or natural language processing

Preferred Qualifications:

Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute
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 NeurIPS, ICLR, AAAI, Rec Sys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
Experience with Large Language Models, on top of the latest research of text only input and multimodal input to large language models
Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, Visual Question & Answering
Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
Experience working and communicating cross functionally in a team environment
Experience with training deep neural networks for key NLP tasks
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Intent to return to degree program after the completion of the internship/co-op

About Meta:

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By signing up, you agree to our 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): Bellevue, WAJob ID: a1KDp00000E2eIEMAZEmployment Type: INTERNPosted: 2025-10-20T19:48:48Apply 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

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