Research Scientist, AI Core Machine Learning

$117,000 - $173,000/Yr

Meta - Sunnyvale, CA

Full-time - Entry Level

Sunnyvale, CA

5,001-10,000 employees

Web Search Portals, Libraries, Archives, and Other Information Services

About the position

Meta is seeking a Research Scientist to join the Ads Ranking team within the Monetization organization to advance the state-of-the-art in AI. This role is pivotal in shipping breakthrough Ads ranking models and infrastructure that enable multiple products through a combination of fundamental research, new machine learning tools, and platforms designed for reuse. The ideal candidate will be a recognized expert in research areas such as Artificial Intelligence, Machine Learning, Computational Statistics, and Applied Mathematics, with a focus on topics like Deep Learning, Data Representation, Sequential Decision Making, Reinforcement Learning, and Graph Learning. The successful candidate will have a passion for producing new science to understand intelligence and technology, aiming to enhance computer capabilities while also implementing research findings to meet product needs. The mission of this role is to cultivate enduring business growth and amplify efficiency through the development of cutting-edge AI technology that addresses complex monetization challenges aligned with Meta's core business objectives.

Responsibilities

• Help advance the science and technology of intelligent machines.
• Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
• Lead research to advance the science and technology of Deep Learning.
• Work on research projects, strategies, and problems of moderate to high complexity and scope.
• Identify and define both short and medium term objectives for the Monetization organization.
• Produce and present publications that influence the progress of AI or Machine Learning in relevant research communities.
• Design policies, processes, procedures, methods, tests, and/or components, from inception for end-to-end systems.
• Collaborate closely with cross-functional partners and contribute towards Meta's research product development.

Requirements

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Currently has, or is in the process of obtaining a Ph.D. degree in Machine Learning, AI, Computer Science, Statistics, Applied Mathematics, Data Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Experience in solving modeling problems using AI or ML methodologies.
• Experience with Python, C++, Java, or other related languages.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
• Research experience in Deep Learning, Data Representation, Sequential Decision Making, Reinforcement Learning, and/or Graph Learning.

Nice-to-haves

• 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, etc.
• Experience with developing Machine Learning models at scale from inception to business impact.
• Experience working and communicating cross-functionally in a team environment.
• Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
• Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.

Benefits

• $56.25/hour to $173,000/year + bonus + equity + 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.