AI Specialist (Technical Leadership) - Product and Applied Research

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 Responsibilities:

• Help advance the science and technology of intelligent machines
• Assist in goal setting related to project impact and system architecture
• Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
• Apply in-depth knowledge of how the machine learning system interacts with the other systems around it
• Technically lead in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver software solutions
• Mentor other AI Engineers & improve the quality of AI work in the broader team
• Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
• Effectively communicate complex features and systems in detail
• Develop clean readable code and debug complex problems that span systems
• Understand industry & company-wide trends to help assess & develop new technologies
• Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
• Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
• Work on research projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short and medium term objectives
• Influence progress of relevant research communities by producing publications
• Establish connections with cross-functional partners and contribute research with the goal of applying to Meta's product development
• Design policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systems
• Apply in-depth knowledge of how the machine learning system interacts with the other systems around it

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Specialized 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 vision
• Experience developing language algorithms or language infrastructure in C/C++ or Python

• PhD in Computer Science, Computer Engineering, or relevant technical field
• 4+ years of work experience post PhD in a university, industry, or government lab(s), in a role with primary emphasis on AI research
• 4+ years of experience as technical lead for a project of 4 or more individuals
• 4+ 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 embeddings
• Experience with large scale model training, implementing algorithms, and evaluating systems
• Experience bringing machine learning-based products from research to production
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
• Experience working and communicating cross functionally in a team environment
• First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)