Create Career Profile
You can create a Career Profile to get job suggestions, prepare for the interview process, and more.
Create Career ProfileAlready have a Career Profile?
Log in
Students & GradsPathway ProgramsCultureDiversityVeteransLeadershipInnovationBenefitsFrequently Asked Questions
Advertising TechnologyAR/VRArtificial IntelligenceBusiness Development and PartnershipsCommunications and Public PolicyCreativeData and AnalyticsDesign and User ExperienceEnterprise EngineeringGlobal OperationsInfrastructureLegal, Finance, Facilities and AdministrationPeople and RecruitingProduct ManagementResearchSales and MarketingSecuritySoftware EngineeringTechnical Program ManagementFacebookInstagramMessengerMeta QuestWhatsAppWorkplaceProduction EngineeringPrivacyData Centers
Research Scientist Intern, AI Systems Machine Learning (PhD)
Location pin icon
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 Fundamental AI Research (FAIR). 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 solving systems challenges in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.
The mission of Meta FAIR's SysML research is to advance the state of AI through open science innovations. We explore, design, and build AI systems and infrastructures at scale to enable cutting-edge AI technologies.
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
- Perform state of the art research to advance the science and technology of machine learning systems.
- Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
- Devise better data-driven models of AI system design and optimization.
- Contribute research that leads to innovations in: scalable machine learning systems, resource-efficient AI data and algorithm scaling and neural network architectures, memory and energy-efficient AI systems, environmentally-sustainable AI system and hardware designs.
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
- Publish research results and contribute to research that impacts Meta product development.
Minimum Qualifications
- Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Systems, Artificial Intelligence, or relevant technical field.
- Research experience in systems, computer architectures, compiler and programming languages, machine learning, and artificial intelligence.
- Experience with Python, C++, C, Lua or other related languages and with PyTorch framework.
- 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 the completion of the internship/co-op.
- 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, ICML, ICLR, MLSys, ISCA, ASPLOS, CGO, PLDI, PACT, HPCA, MICRO, or similar.
- Experience developing and optimizing systems for at-scale machine learning execution.
- Experience in real-system implementations.
- Experience devising data-driven models and real-system experiments and design implementation for AI system optimization.
- Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures.
- Experience with memory and energy-efficient AI systems, environmentally-sustainable AI system designs, or AI-driven system optimization.
- Experience solving analytical problems using quantitative approaches.
- Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources.
- Experience in utilizing theoretical and empirical research to solve problems.
- Experience building systems based on machine learning and/or deep learning methods.
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- Experience working and communicating cross functionally in a team environment.
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.
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 accommodations-ext@fb.com.
$7,650/month to $11,333/month + benefits
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Related Job Openings
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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.
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, you may contact us at accommodations-ext@fb.com.
© Meta 2024
Our policies
More resources