Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Drill coding, system design for high-throughput ML/monetization services, latency–quality tradeoffs, and leadership stories that show multi-team delivery.
Good match if you want on-site Menlo Park work shipping AI tied to Meta revenue and prefer technical leadership over pure ticket implementation.
As Software Engineer, AI Specialist – Monetization (Technical Leadership) at Meta, days center on production AI for ads/revenue: models, experiments, reliability, and design reviews. Leadership means mentoring, architecture choices, and aligning product, ads, and infra partners in Menlo Park—not only solo tickets.
Prioritize large-scale ML (ranking/ads or recs), production systems, rigorous experimentation, and mentoring. No cert resources or costs were provided in CERTS.
No—the listing sets remote to 0; expect Menlo Park, California.
AI for ads and other revenue systems across Meta apps, where models affect how the company makes money.
No certification list or costs were supplied for this role family.
Website: meta.com
Meta Platforms, Inc. is an American multinational technology company headquartered in Menlo Park, California. Meta owns and operates several prominent social media platforms and communication services, including Facebook, Instagram, WhatsApp, Messenger, and Threads. The company also operates an advertising network for its own sites and third parties; as of 2023, advertising accounted for 97.8 percent of its total revenue. Meta has been described as a part of Big Tech, which refers to the largest six tech companies in the United States, Alphabet (Google), Amazon, Apple, Meta…
Public cache only — not an employee review.
Software Engineer, AI Specialist - Monetization (Technical Leadership) at Meta in Menlo Park, San Mateo County Role Overview Meta is seeking a distinguished Software Engineer with deep AI specialization to drive transformative technical initiatives across Meta's AI-powered products and platforms. In this role, you will define and lead the architectural direction of large-scale AI systems - spanning foundation models, intelligent ranking and recommendation infrastructure, and applied machine learning pipelines. What You'll Do Define and lead the architectural direction of large-scale AI systems across Meta's product portfolio. Develop and implement advanced AI technologies to enhance Meta's monetization strategies. Collaborate with cross-functional teams to integrate AI solutions into existing platforms and products. Conduct research and development in cutting-edge AI methodologies and techniques. Ensure the scalability, performance, and robustness of AI systems through rigorous testing and optimization. What You Bring Demonstrated experience in developing and deploying large-scale AI systems. A strong background in machine learning, deep learning, and natural language processing. Experience with foundation models, intelligent ranking, and recommendation infrastructure. Proficiency in Python, TensorFlow, PyTorch, or other relevant programming languages. Strong problem-solving skills and the ability to work effectively in a fast-paced environment. About the Company Meta is committed to fostering an inclusive and innovative culture where you can grow as a professional. With a focus on cutting-edge AI technologies, Meta provides opportunities for continuous learning and development. Applying for This Role To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
Generated for personal interview prep · 2026-08-15 UTC · getajob.ai