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.The Ads ML Infra Foundation team at Meta is seeking research interns to develop AI-driven Ads technologies that are not only the standard in precision and performance but also in fostering trust and delivering value to both advertisers and consumers. We are committed to making fundamental advances in AI and ML technologies that can be applied to all aspects of modeling and training, such as privacy preserving ML, training efficiency optimization, training optimizer design, and foundation models.We are seeking individuals passionate in areas such as deep learning, natural language processing, machine learning, computational statistics, and applied mathematics. 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 AI and ML, share the latest findings through top-tier publications and open source, and integrate innovations at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

　　Required Skills:

　　Research Scientist Intern, AI/ML Foundation (PhD) Responsibilities:

　　Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.

　　Devise better data-driven models of AI system design and optimization.

　　Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).

　　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, training system design and optimization, privacy-preserving AI technologies.

　　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:

　　Minimum Qualifications:

　　Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, or relevant technical field.

　　Must obtain work authorization in 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.

　　Experience with deep learning frameworks such as Pytorch or Tensorflow.

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

　　Preferred Qualifications:

　　Preferred Qualifications:

　　Intent to return to 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, AAAI, RecSys, KDD, IJCAI, ACL, NAACL, EACL, ICASSP, MLSys, ISCA, ASPLOS, CGO, PLDI, PACT, HPCA, MICRO, or similar.

　　Publications or experience in security and privacy, machine learning, AI, optimization, computer science, statistics, applied mathematics, or data science.

　　Experience in real-system implementations.

　　Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources.

　　Experience in utilizing theoretical and empirical research to solve problems.

　　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.

　　Public Compensation:

　　$7,650/month to $11,333/month + benefits

　　Industry: Internet

　　Equal Opportunity:

　　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 [email protected].