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We are part of the AI Innovation Center for Ads and Monetization org (Meta AI). We incubate and integrate state-of-the-art AI/ML advancements and best practices into the Ads and Monetization products, helping these products hit their long-term and company-critical goals. Partnering with the product and infrastructure teams, we have contributed over $30B cumulative value for the company in the past two years.This team works on a wide variety of ML areas, e.g., ranking, recommendation, advanced modeling, reinforcement learning, data scaling and learning, content understanding, and ads supply (optimizing the trade-off between ads revenue and user engagement). Some of the specific topics we focus on include end-to-end joint modeling, retrieval, user modeling, AutoML, semi/self-supervised learning, graph learning, large-capacity modeling (e.g., Transformer), signal growth (e.g., recovering from signal loss due to opt-out users for privacy purposes), optimization, uplift modeling, causal reasoning, personalization, etc.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com.
Research Scientist Intern, AI and ML (PhD) Responsibilities: Perform research to advance the science and technology of machine learningDevise better data-driven models of human behaviorContribute research that can be applied to Facebook product developmentMinimum Qualifications:Currently has, or is in the process of obtaining a PhD degree in the field of Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision or similarExperience with Python, C++, Java or other related languageExperience with deep learning frameworks such as Pytorch or TensorflowMust obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employmentPreferred Qualifications:Extensive experience solving analytical problems using quantitative approachesExperience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sourcesStrong interest in theoretical and empirical research and for answering hard questions with researchExperience building systems based on machine learning, reinforcement learning and/or deep learning methodsProven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as ICML, NeurIPS, or ICLRDemonstrated 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 environmentIntent to return to degree-program after the completion of the internship/co-opMeta 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’s 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
