Senior Machine Learning Engineer, Ads Demand Optimization
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The role
Architect and implement automated bidding strategies to improve delivery efficiency.
Design, prototype, and productionize new bidding algorithms and products, including model training, policy evaluation, and guardrail enforcement.
Develop and refine auction mechanisms that balance multiple objectives under constraints.
Build exploration frameworks and reinforcement learning strategies for cold-start scenarios (new ads/new games), including contextual bandits, off-policy evaluation, and online learning.
Own the full lifecycle: problem framing, data instrumentation, modeling, simulation, experimentation, and deployment with continuous monitoring and iteration.
Collaborate cross-functionally with product, engineering, and data science teams to translate business objectives into robust algorithmic solutions and measurable outcomes.
Design, prototype, and productionize new bidding algorithms and products, including model training, policy evaluation, and guardrail enforcement.
Develop and refine auction mechanisms that balance multiple objectives under constraints.
Build exploration frameworks and reinforcement learning strategies for cold-start scenarios (new ads/new games), including contextual bandits, off-policy evaluation, and online learning.
Own the full lifecycle: problem framing, data instrumentation, modeling, simulation, experimentation, and deployment with continuous monitoring and iteration.
Collaborate cross-functionally with product, engineering, and data science teams to translate business objectives into robust algorithmic solutions and measurable outcomes.
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