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 Interns to join Monetization Ranking & AI Foundations where we strive to serve the best personalized ads to people, maximizing their personal utility and advertiser value. We are committed to making fundamental advances in machine learning systems, core algorithmic and system hardware-software co-design, and infrastructures that enable and advance AI technologies. Our interns closely collaborate with researchers and engineers within the organization and across the company (e.g., FAIR), push the boundaries of state-of-the-art research in ML systems and infrastructures, share the latest findings through top-tier publications and open source, and integrate innovations at an unprecedented scale. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, AI Systems Machine Learning (PhD) Responsibilities

Conduct state-of-the-art research to advance the science and technology of Machine Learning Systems and Infrastructures in various technology areas, e.g., ranking and retrieval systems, distributed training/inference optimizations.

Contribute to research that leads to innovations in scalable machine learning systems, resource-efficient AI and neural network architectures for data and algorithm scaling, memory/communication and energy-efficient AI systems, and hardware/software co-design, AI-driven compiler, system design and performance optimization, etc.

Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.

Collaborate with researchers and engineers across diverse disciplines, 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 Machine Learning, Systems, Artificial Intelligence, Computer Science, or related fields.

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

Experience with Python, C++, C, or other related languages.

Experience in real-system implementations (e.g., GPU, NPU).

Experience building systems based on machine learning and/or deep learning methods.

Preferred Qualifications

Intent to return to the degree program after the completion of the internship/co-op.

Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, MLSys, ISCA, ASPLOS, CGO, PLDI, PACT, HPCA, MICRO, or similar.

Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).

Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches.

Experience working and communicating cross functionally in a team environment.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Locations

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.

$7,800/month to $11,293/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.

Equal Employment Opportunity and Affirmative Action

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, 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 support, please reach out to [email protected].

Research Scientist Intern

AI Systems Machine Learning, PhD

Meta

Compensation Overview

6 month growth

1 year growth

2 year growth

Simplify's Take

What believers are saying

What critics are saying

What makes Meta unique