StubHub
Staff Machine Learning Engineer - Acquisition Paid Search
StubHub, New York, New York, us, 10261
Staff Machine Learning Engineer - Acquisition Paid Search
StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About The Opportunity
We're seeking a Staff Machine Learning Engineer to lead the science and systems that power our paid search marketing. You'll design the causal measurement stack, ship models that influence bidding and budgeting in real time, and partner with marketing, data, and platform teams to drive profitable, incremental growth. StubHub is the largest secondary ticket market in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. The core challenge for our marketing efforts is acquire as many new customers as possible, efficiently, and at the right time in their customer journey, making it a complex and highly impactful domain. What You'll Do:
Own causal measurement for paid search Ship production models Design experiments & guardrails Integrate with ad platforms Data & MLOps leadership Mentor & influence Tell the story What You've Done:
8+ years in applied ML/causal inference (or equivalent) with direct paid search/auction experience. Expert in causal methods (uplift modeling, DML, IV, DiD/synth control, BSTS/Bayesian time series) and experimental design. Strong software engineering: Python (pandas, numpy, scikit-learn, LightGBM/XGBoost), SQL; experience with Spark and one of AWS/GCP/Azure. Hands-on with A/B frameworks, power analysis, and measurement diagnostics (SRM, balance, interference). Proven track record integrating with Google Ads/Microsoft Ads/SA360 and moving the needle on tROAS, CPA, LTV. Clear communicator who can mentor senior ICs and partner with product/marketing. Nice To Have:
Recsys, bandits/RL for bidding/budget pacing, MMM and privacy-aware attribution Scala/Java or microservices experience; Airflow/DBT; Kafka/PubSub; Feast or similar feature stores. Domain knowledge of auction theory, query taxonomy, brand vs. non-brand dynamics, and budget rebalancing Staff-Level Capabilities:
Technical leadership through influence rather than formal management authority Strategic thinking with the ability to balance long-term technical vision with immediate organizational needs Cross-functional collaboration skills to work effectively with Data Science, Product, and Engineering teams Communication skills to inject technical context into high-level organizational discussions Problem-solving approach for ambiguous, high-impact technical challenges Mentorship and sponsorship experience growing junior and mid-level engineers What We Offer:
Accelerated Growth Environment Top Tier Compensation Package Flexible Time Off Comprehensive Benefits Package Salary Range: $300,000 - $350,000 USD About Us: StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.
StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About The Opportunity
We're seeking a Staff Machine Learning Engineer to lead the science and systems that power our paid search marketing. You'll design the causal measurement stack, ship models that influence bidding and budgeting in real time, and partner with marketing, data, and platform teams to drive profitable, incremental growth. StubHub is the largest secondary ticket market in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. The core challenge for our marketing efforts is acquire as many new customers as possible, efficiently, and at the right time in their customer journey, making it a complex and highly impactful domain. What You'll Do:
Own causal measurement for paid search Ship production models Design experiments & guardrails Integrate with ad platforms Data & MLOps leadership Mentor & influence Tell the story What You've Done:
8+ years in applied ML/causal inference (or equivalent) with direct paid search/auction experience. Expert in causal methods (uplift modeling, DML, IV, DiD/synth control, BSTS/Bayesian time series) and experimental design. Strong software engineering: Python (pandas, numpy, scikit-learn, LightGBM/XGBoost), SQL; experience with Spark and one of AWS/GCP/Azure. Hands-on with A/B frameworks, power analysis, and measurement diagnostics (SRM, balance, interference). Proven track record integrating with Google Ads/Microsoft Ads/SA360 and moving the needle on tROAS, CPA, LTV. Clear communicator who can mentor senior ICs and partner with product/marketing. Nice To Have:
Recsys, bandits/RL for bidding/budget pacing, MMM and privacy-aware attribution Scala/Java or microservices experience; Airflow/DBT; Kafka/PubSub; Feast or similar feature stores. Domain knowledge of auction theory, query taxonomy, brand vs. non-brand dynamics, and budget rebalancing Staff-Level Capabilities:
Technical leadership through influence rather than formal management authority Strategic thinking with the ability to balance long-term technical vision with immediate organizational needs Cross-functional collaboration skills to work effectively with Data Science, Product, and Engineering teams Communication skills to inject technical context into high-level organizational discussions Problem-solving approach for ambiguous, high-impact technical challenges Mentorship and sponsorship experience growing junior and mid-level engineers What We Offer:
Accelerated Growth Environment Top Tier Compensation Package Flexible Time Off Comprehensive Benefits Package Salary Range: $300,000 - $350,000 USD About Us: StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.