Machine Learning Manager - Ads Creative Effectiveness

The Machine Learning Manager will lead and grow a diverse team of MLEs and software engineers, fostering a culture of rapid iteration, ownership, and inclusion. They will set the technical vision and define long-term roadmaps that align generative AI bets with Ads OKRs, translating fuzzy ideas into concrete milestones and measurable outcomes. This role involves launching and scaling LLM/VLM-powered generators and predictive models, owning the full lifecycle from prototype to production. Responsibilities include architecting low-latency generation/serving stacks and petabyte-scale feature pipelines that meet privacy, safety, and compliance requirements. The manager will drive experiments by establishing rigorous A/B and causal-inference frameworks to quantify lift, marketplace impact, and advertiser ROI. They will also partner broadly with Product, Sales, Policy, UX, and sibling Ads ML teams to integrate ACE capabilities into the self-serve flow and ad auction, and embed guardrails like brand-safety filters, copyright checks, and human-in-the-loop escalation paths to protect users and advertisers.