Research Scientist Intern, AI Research

• Multimodal Pretraining (PhD)

1 month ago• Menlo Park, CA
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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

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.

Meta is seeking Research Scientist Interns in the multimodal pretraining team in the Meta Superintelligence org. We are committed to advancing the field of generative AI by making fundamental advances in technologies to help interact with and understand our world. We're looking for candidates who want to push the frontiers of multimodal pretraining, and have experience in developing novel language modeling architectures, vision-language modeling, multimodal generation, and neural scaling laws.

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

• Research Scientist Intern, AI Research
• Multimodal Pretraining (PhD) Responsibilities:
• Perform research to advance the frontiers of multimodal (images, video, text, audio, and other modalities) pretraining, to develop the next generation of multimodal architectures.
• 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, Machine Learning, Computer Vision, Artificial Intelligence, or relevant technical field
• Past projects/publications in the general domain of neural scaling laws, model architectures, image/text modeling, vision-language modeling
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
• Experience in Py Torch, Triton, or other related programming languages
• Experience building systems based on machine learning and/or deep learning methods

Preferred Qualifications:

• Intent to return to a degree-program after the completion of the internship/co-op
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL
• Experience with Generative AI, including transformers, diffusion models and VLMs
• Background in advancing AI techniques at the intersection of foundation model training including core contributions to open source libraries and frameworks
• Publications or experience in machine learning, AI, computer vision, NLP, optimization, computer science, statistics, applied mathematics, or data science
• Experience solving analytical problems using quantitative approaches
• Experience setting up ML experiments and analyzing their results
• Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
• Experience in utilizing theoretical and empirical research to solve problems
• Experience working and communicating cross functionally in a team environment

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.

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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): Menlo Park, CA

Job ID: a1KDp00000CZK2wMAH

Employment Type: INTERN

Posted: 2025-12-19T19:54:23
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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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