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AI Specialist (Technical Leadership) - Product and Applied Research

Meta· Engineering
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Menlo Park, CA$219k - $301kFull-timePosted 2mo ago

About the role

AI Specialist (Technical Leadership) focusing on product and applied research at Meta, leading cross-disciplinary AI initiatives, developing novel architectures, and guiding technical direction to improve product development and organizational efficiency.

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

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, 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

Skills

Required:AI leadership and technical directionArchitectural design and system integrationMentoring and coachingCommunication of complex featuresCross-functional collaboration

Benefits

  • Benefits described by Meta in the posting (not enumerated in the excerpt)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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