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

Requirements

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

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningbidding algorithmsPythonScalaJavaoptimization techniquesdata analysis techniqueslarge-scale production dataevaluation frameworks

Soft Skills

business acumencommunication skillscollaboration skills

Certifications

PhDMaster’s