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Staff Machine Learning Engineer, Ads Advanced Conversion Modeling

Seattle💼 Full-time💰 $222,716–$222,716🗓 2026-07-08 → 2026-07-31

Core

Lead technical vision and build state-of-the-art DNN models for ads conversion prediction and user action inference.

Role type

Staff Machine Learning Engineer (Ads Conversion Modeling)

Builds

Large-scale low-latency DNN models for ad conversion prediction and user interest inference

Domain

Digital Advertising / Machine Learning

Deliverable

production ML models

Required skills

DNN model design, large-scale system building, statistical methods, A/B testing, text/visual signal mining, AI tool integration, technical leadership

Preferred skills

Experience with Cursor/Copilot/Codex, LLM-powered productivity tools

Technologies

DNN, AI coding assistants, LLM tools

Responsibilities

Lead technical direction for applied ML projects, design and build large-scale DNN models, mine text/visual/user signals, use AI to accelerate analysis, automate development tasks, coach engineers and collaborate on ad products

Seniority

Staff, hands-on IC with mentorship

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