Research Scientist Intern, Ai Systems Machine Learning (Phd)

Summary
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 with impact every year.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Required Skills
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 such as generative sequential models, 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 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 Qualification
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, Java, or other related languages.

Preferred Qualification
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).
• Experience solving analytical problems using quantitative approaches.
• Experience in real-system implementations (e.g., GPU, NPU).
• Experience building systems based on Machine Learning and/or deep learning methods
• Experience working and communicating cross functionally in a team environment.

EOE
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@fb.com.