Responsibilities
- Orchestrate and align cross-functional teams to deliver against ambitious ML/AI infrastructure objectives, ensuring absolute clarity and executive accountability
- Forge strategic partnerships with senior engineering, hardware, and research leadership to define long-term roadmaps for platform scaling and infrastructure prioritization
- Drive the technical execution for the integration of next-generation AI accelerators (GPUs, ASICs) and distributed machine learning systems
- Design and implement high-level communication frameworks to synthesize program health, risk profiles, and strategic shifts for executive leadership and global stakeholders
- Mitigate complex cross-functional dependencies and systemic risks by dynamically re-engineering scope and resources to maintain project momentum and on-time delivery
- Command the end-to-end lifecycle of infrastructure programs, encompassing deep technical analysis, architectural design, and rigorous production deployment
- Engineer and track mission-critical success metrics and performance benchmarks for ML infrastructure, fostering a culture of continuous improvement and technical rigor
- Anticipate and address complex, long-term infrastructure challenges in partnership with engineering and research leaders
- Advance Ads Ranking strategy by integrating state-of-the-art AI techniques into the core architecture of monetization systems
- Champion process improvements and automation to streamline workflows and reduce manual effort across ML/AI infrastructure teams
- Foster innovation, reliability, and efficiency in scaling ML/AI systems at Meta
Minimum Qualifications
- Bachelor’s degree in Computer Science, Electrical Engineering, or related technical field, or equivalent experience
- 10+ years of leadership experience in software, hardware, or systems engineering and technical program management, with deep expertise in ML infrastructure, monetization platforms, or large-scale recommendation systems
- Proven track record of delivering complex, mission-critical ML/AI technology programs from architectural inception through global-scale production deployment
- Proven experience in delivering complex ML/AI technology programs from inception to production at scale
- Exceptional ability to transform ambiguous technical challenges into actionable, high-impact strategies, with a history of driving systemic improvements in reliability, efficiency, and developer velocity
- Demonstrated analytical and problem-solving skills for large-scale ML/AI systems
- Strong executive presence with a proven ability to synthesize deep technical complexity into clear strategic narratives for leadership
- Hands-on experience with large language models, machine learning, and scaling distributed systems, including advertising auction dynamics and revenue-critical infrastructure
- Effective communication skills, with experience in influencing executive leadership and technical management teams
- Strong understanding of large language models, machine learning, and scaling distributed systems for advertising workloads and auction dynamics
Preferred Qualifications
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Previous experience with ads delivery systems, revenue-critical infrastructure, and content understanding for monetization and/or recommendation system is preferred
$168,000/year to $234,000/year + bonus + equity + benefits
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