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.

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 methodologies and benchmarks to evaluate different approaches
Apply in-depth knowledge of how the AI 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 and company-wide trends to help assess and develop new technologies
Partner and collaborate with organization leaders to help improve the level of performance of the team and the organization
Identify new opportunities for the larger organization and influence the appropriate people for staffing and prioritizing these new ideas
Work on tech development projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short-term and medium-term objectives
Establish connections with cross-functional partners and contribute to 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

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
Specialized experience in one or more of the domains: LLM post-training, agentic technology and product development, Gen AI product applications
Experience developing modeling algorithms or infrastructure in C/C++ or Python

Preferred Qualifications

In-depth experience with the agentic framework and product development
Experience in one or more of the following machine learning domains: NLP, recommendation systems, data mining, or information retrieval
4+ years of experience as a technical lead for a project of 4 or more individuals
Experience of driving 0-1 AI product development
Experience working and communicating cross-functionally in a team environment
A PhD or equivalent R&D experience in Computer Science, Computer Engineering, or a relevant technical field
In-depth experience with LLM post-training alignment and reinforcement learning
Experience solving complex problems and comparing alternative solutions, trade-offs, and broad points of view to determine a path forward

$219,000/year to $301,000/year + bonus + equity + benefits

AI Specialist (Technical Leadership) - Product and Applied Research

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