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Manager, Machine Learning Engineering, Advertiser Experience ML
$195K–$343K
Palo Alto, California +2 · Manager · Full-time · Posted Sep 30, 2026
- Location
- Palo Alto, California
Bellevue, Washington
Los Angeles, California - Experience
- 8+ years of post-Bachelor’s ML industry experience; or a Master’s degree in a technical field + 7+ year of post-grad ML experience; or a PhD in a related technical field + 4+ years of post-grad ML experience. Also requires 1+ years of experience leading machine learning engineering teams.
- Education
- Bachelor’s in a related technical field such as computer science or equivalent years of experience.
About the job
Manages a machine learning engineering team building ML, agentic systems, and data pipelines for advertiser-facing products, including ad review, fraud detection, recommendations, and creative intelligence.
What you'll do
- Lead and develop a team building models, agentic systems, and data pipelines.
- Set technical strategy and own the team roadmap across dependent product and platform teams.
- Scale LLM-powered ad review and partner cross-functionally to deliver measurable outcomes.
What they ask for
- Bachelor’s in a related technical field such as computer science or equivalent years of experience.
- Deep understanding of machine learning approaches for classification, recommendation, and content understanding.
- Experience building production systems with large language models, including evaluation, iteration, and managing cost and latency.
- Technical depth to guide design across modeling, data pipelines, and inference; strategy, stakeholder management, and mentorship skills.
Nice to have
- Experience in ads integrity, content moderation, trust and safety, fraud, risk, abuse detection, or ads or marketplace recommendations.
- Experience with production agentic or LLM-based workflows, multimodal models, large-scale web crawling, ML platform infrastructure, PyTorch, or TensorFlow.
Pay
$229,000-$343,000 annually (base salary); $218,000-$326,000 annually (base salary); $195,000-$292,000 annually (base salary)
Tools
LLMs, PyTorch, TensorFlow
AI focus
Builds applied ML and AI systems for advertiser products, including LLM-powered and agentic ad review, moderation, fraud detection, advertiser understanding, recommendations, ranking, attribution, creative intelligence, and creator insights.
Model-written summary · the original posting is authoritative