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 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

Compensation

• $219,000/year - $301,000/year; Country: US; Bonus eligible; Equity eligible

About Meta

California Notice

Equal Opportunity

Accommodations