Research Scientist Intern, Generative Recommendation (PhD)

Skip to main content

Jobs

Teams

Career Programs

Working at Meta

Blog

Podcasts

Jobs

Research Scientist Intern, Generative Recommendation (PhD)

Research Scientist Intern, Generative Recommendation (PhD)

Singapore

Research

+ 2 more

Apply now

We are seeking highly motivated Research Interns to advance the next generation of generative recommendation systems. Our research brings together large language models, computer vision, generative modeling, and reinforcement learning to understand content and user preferences and generate personalized recommendations.

As a Research Intern, you will collaborate with researchers and engineers to explore new approaches to personalized retrieval, ranking, and recommendation list generation. This opportunity is especially suited to researchers with backgrounds in LLMs and computer vision who want to apply diffusion models and reinforcement learning to recommendation problems.

Research Scientist Intern, Generative Recommendation (PhD) Responsibilities

• Conduct research on generative recommendation, including autoregressive transformers, diffusion models, and flow matching for personalized retrieval and ranking.
• Explore multimodal modeling approaches that combine images, video, text, and user interaction histories to learn content representations and user preferences.
• Develop reinforcement learning, reward modeling, and preference optimization methods to improve recommendation quality and long-term user satisfaction.
• Design, implement, and evaluate novel model architectures and training algorithms through rigorous experimentation.
• Collaborate closely with researchers and engineers to translate research ideas into scalable recommendation methods.
• Contribute to publications at leading AI and machine learning conferences, and present findings that help shape ongoing research and future directions.

Minimum Qualifications

• Has, or is in the process of obtaining, a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, generative modeling, computer vision, or reinforcement learning
• Programming experience in Python and hands-on experience with deep learning frameworks such as PyTorch
• Experience with LLMs and computer vision, including familiarity with diffusion models and reinforcement learning
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications

• Intent to return to the degree program after completing the internship
• Demonstrated research achievements through publications at leading conferences such as NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, KDD, or RecSys
• Hands-on research experience developing diffusion models, flow matching methods, multimodal foundation models, or reinforcement learning algorithms
• Experience with reward modeling, offline reinforcement learning, preference optimization, or post-training of generative models
• Research experience in recommendation systems, personalization, or sequential modeling
• Contributions to open-source projects, benchmarks, or reproducible research artifacts
• Ability to identify research opportunities in practical applications, analyze experimental results, and independently drive research iterations while collaborating across teams

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 WhatsApp 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.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

Apply for this job

Take the first step toward a rewarding career at Meta. Apply now

APPLY NOW

Find your role

Explore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you.

View jobs

Meta AI

Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process. Learn more

about AI usage and settings.

Sign up

to ask follow-up questions

Job Search

Technology Teams

Technology Teams

Artificial Intelligence

Creative

Infrastructure

Metaverse and Wearables

Product and Program Management

Research and Data

Security

Software Engineering

Business Teams

Business Teams

Business Operations

Partnerships

Sales and Marketing

Career Programs

Career Programs

Research

Accelerate Eng Talent

Students and Grads

Rotational Programs

Working at Meta

Working at Meta

Accessiblity and Engagement

Benefits

Culture

Hiring Process

My account

My account

Career profile

Account settings

Messages

Meta Careers Blog

Meta Tech Podcasts

About us

About Meta

Media gallery

Brand resources

For investors

Looking for contractor roles?

Community Standards Data Policy Terms Cookie Policy

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form

Notice regarding automated employment decision tools in New York City Learn more about this here .

©2026 Meta.

If you have any trouble, you can report an issue Report a bug