AI Specialist (Technical Leadership) – Product and Applied Research

Job Description

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc. , builds technologies that help people connect, find communities, and grow businesses.

When Facebook launched in 2004, it changed the way people connect. Apps and services 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. AI Specialist (Technical Leadership) – Product and Applied Research ResponsibilitiesHelp advance the science and technology of intelligent machinesAssist in goal setting related to project impact and system architectureDevelop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approachesApply in-depth knowledge of how the machine learning system interacts with the other systems around itTechnically lead in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver software solutionsMentor other AI Engineers & improve the quality of AI work in the broader teamDrive the team’s goals and technical direction to pursue opportunities that make your larger organization more efficientEffectively communicate complex features and systems in detailDevelop clean readable code and debug complex problems that span systemsUnderstand industry & company-wide trends to help assess & develop new technologiesPartner & collaborate with organization leaders to help improve the level of performance of the team & organizationIdentify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideasWork on research projects, strategies, and problems of moderate to high complexity and scope.

Can identify and define both short and medium term objectivesInfluence progress of relevant research communities by producing publicationsEstablish connections with cross-functional partners and contribute research with the goal of applying to Meta’s product developmentDesign policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systemsApply in-depth knowledge of how the machine learning system interacts with the other systems around itMinimum QualificationsBachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceSpecialized experience in one or more of the following machine learning/deep learning domains: NLP, reinforcement learning, deep learning, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer visionExperience developing language algorithms or language infrastructure in C/C++ or PythonPreferred QualificationsPhD in Computer Science, Computer Engineering, or relevant technical field4+ years of work experience post PhD in a university, industry, or government lab(s), in a role with primary emphasis on AI research4+ years of experience as technical lead for a project of 4 or more individuals4+ years of experience with developing scalable machine learning models in at least one of the following areas: Crawling, indexing, extraction, retrieval, ranking, recommendations, measurement, tooling, evaluation, query understanding, planning, vector databases, or embeddingsExperience with large scale model training, implementing algorithms, and evaluating systemsExperience bringing machine learning-based products from research to productionExperience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forwardExperience working and communicating cross functionally in a team environmentFirst author publications experience at peer-reviewed AI conferences (e. g.

, NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)

EWJD3