Machine Learning Scientist 5 - Ads Bidding

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. Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or related quantitative field. Proficiency in Python, Scala or Java. Deep knowledge of machine learning, optimization, and data analysis techniques. Experience with prototyping and deploying algorithms using large-scale production data. Strong business acumen and ability to translate technical results into business impact. Experience in building bidding algorithms. Excellent communication and collaboration skills.