• Design and implement machine learning–driven bidding algorithms that optimize ad performance against objectives such as Clicks, Conversions, CPA and ROAS • Build, train, and evaluate bidding algorithms on large-scale production data, ensuring robustness to marketplace dynamics, seasonality, and distribution shifts • Develop online and offline evaluation frameworks to rigorously measure the impact of bidding algorithms and policy changes • Inform and influence auction and pricing mechanism design, ensuring alignment between bidding algorithms, marketplace efficiency, and business goals • Partner closely with the product team to define bidding objectives, constraints, and trade-offs that align with product and revenue goals • Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven bidding solutions