StubHub, Inc.
Staff Machine Learning Engineer - Acquisition Paid Search New New York, New York
StubHub, Inc., New York, New York, us, 10261
Location
Hybrid (3 days in office/2 days remote) – New York, NY or Los Angeles, CA 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. Responsibilities
Own causal measurement for paid search : Stand up uplift/incrementality frameworks to quantify lift beyond correlation. Ship production models : Build and serve models that inform bids, budgets, and query-level targeting. Design experiments & guardrails : Architect geo/cell tests and online experiments with monitoring. Integrate with ad platforms : Translate science into APIs/feeds for Google Ads, Microsoft Advertising, and SA360. Data & MLOps leadership : Partner with platform teams to instrument events, build reliable feature stores and ETL, and establish monitoring. Mentor & influence : Provide technical leadership, set standards for methodology, code quality, documentation, and reproducibility. Tell the story : Communicate trade-offs and impact to execs and non-technical partners. Qualifications
8+ years in applied ML/causal inference with direct paid search/auction experience. Expert in causal methods and experimental design. Strong software engineering: Python, SQL, Spark, and cloud experience. Hands‑on with A/B frameworks, power analysis, and measurement diagnostics. Proven track record integrating with Google Ads/Microsoft Ads/SA360 and moving the needle on key metrics. 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 vision with immediate needs. Cross‑functional collaboration to work effectively with Data Science, Product, and Engineering teams. Communication skills to inject technical context into high‑level 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: Immersed in an environment designed for swift skill and knowledge enhancement, leading experiments on a massive scale. Top Tier Compensation Package: Rewarding package that includes stock incentives. Flexible Time Off: Unlimited flex time off for work‑life balance. Comprehensive Benefits Package: 401(k), and premium Health, Vision, and Dental Insurance options. 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. Equal Employment Opportunity Statement
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.
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Hybrid (3 days in office/2 days remote) – New York, NY or Los Angeles, CA 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. Responsibilities
Own causal measurement for paid search : Stand up uplift/incrementality frameworks to quantify lift beyond correlation. Ship production models : Build and serve models that inform bids, budgets, and query-level targeting. Design experiments & guardrails : Architect geo/cell tests and online experiments with monitoring. Integrate with ad platforms : Translate science into APIs/feeds for Google Ads, Microsoft Advertising, and SA360. Data & MLOps leadership : Partner with platform teams to instrument events, build reliable feature stores and ETL, and establish monitoring. Mentor & influence : Provide technical leadership, set standards for methodology, code quality, documentation, and reproducibility. Tell the story : Communicate trade-offs and impact to execs and non-technical partners. Qualifications
8+ years in applied ML/causal inference with direct paid search/auction experience. Expert in causal methods and experimental design. Strong software engineering: Python, SQL, Spark, and cloud experience. Hands‑on with A/B frameworks, power analysis, and measurement diagnostics. Proven track record integrating with Google Ads/Microsoft Ads/SA360 and moving the needle on key metrics. 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 vision with immediate needs. Cross‑functional collaboration to work effectively with Data Science, Product, and Engineering teams. Communication skills to inject technical context into high‑level 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: Immersed in an environment designed for swift skill and knowledge enhancement, leading experiments on a massive scale. Top Tier Compensation Package: Rewarding package that includes stock incentives. Flexible Time Off: Unlimited flex time off for work‑life balance. Comprehensive Benefits Package: 401(k), and premium Health, Vision, and Dental Insurance options. 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. Equal Employment Opportunity Statement
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.
#J-18808-Ljbffr