StubHub, Inc.
Staff Machine Learning Engineer - Acquisition Paid Search New Los Angeles, Calif
StubHub, Inc., New York, New York, us, 10261
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. What You'll Do:
Own causal measurement for paid search : Stand up uplift/incrementality frameworks (e.g., doubly robust learners, causal forests, DML, IVs, synthetic control, DiD, BSTS) to quantify lift beyond correlation. Ship production models : Build and serve models that inform bids, budgets, and query-level targeting using signals like incremental CPA, tROAS, LTV, and heterogenous treatment effects. Design experiments & guardrails : Architect geo/cell tests and online experiments; handle power analysis, pre-trend checks, SUTVA threats, SRM detection, and sequential monitoring. Integrate with ad platforms : Translate science into APIs/feeds for Google Ads, Microsoft Advertising, and SA360; validate against auction dynamics and Quality Score mechanics. Data & MLOps leadership : Partner with platform teams to instrument events, build reliable feature stores and ETL (batch/stream), and establish monitoring for drift, bias, leakage, and attribution sanity. Mentor & influence : Provide technical leadership across science, engineering, and marketing; set standards for methodology, code quality, documentation, and reproducibility. Tell the story : Communicate trade-offs and impact to execs and non-technical partners; make the complex understandable and actionable. 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 : Immersive experiments and testing at scale. Top Tier Compensation Package : Competitive salary, equity, and benefits. Flexible Time Off : Unlimited Flex Time Off for work-life balance. Comprehensive Benefits Package : 401(k), health, vision, and dental insurance. Compensation
Salary Range: $300,000 – $350,000 USD.
Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. About Us
StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere.
Over 300 million tickets are available annually, serving customers in 195 countries and 49 available currencies. Equal Opportunity
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
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. What You'll Do:
Own causal measurement for paid search : Stand up uplift/incrementality frameworks (e.g., doubly robust learners, causal forests, DML, IVs, synthetic control, DiD, BSTS) to quantify lift beyond correlation. Ship production models : Build and serve models that inform bids, budgets, and query-level targeting using signals like incremental CPA, tROAS, LTV, and heterogenous treatment effects. Design experiments & guardrails : Architect geo/cell tests and online experiments; handle power analysis, pre-trend checks, SUTVA threats, SRM detection, and sequential monitoring. Integrate with ad platforms : Translate science into APIs/feeds for Google Ads, Microsoft Advertising, and SA360; validate against auction dynamics and Quality Score mechanics. Data & MLOps leadership : Partner with platform teams to instrument events, build reliable feature stores and ETL (batch/stream), and establish monitoring for drift, bias, leakage, and attribution sanity. Mentor & influence : Provide technical leadership across science, engineering, and marketing; set standards for methodology, code quality, documentation, and reproducibility. Tell the story : Communicate trade-offs and impact to execs and non-technical partners; make the complex understandable and actionable. 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 : Immersive experiments and testing at scale. Top Tier Compensation Package : Competitive salary, equity, and benefits. Flexible Time Off : Unlimited Flex Time Off for work-life balance. Comprehensive Benefits Package : 401(k), health, vision, and dental insurance. Compensation
Salary Range: $300,000 – $350,000 USD.
Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. About Us
StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere.
Over 300 million tickets are available annually, serving customers in 195 countries and 49 available currencies. Equal Opportunity
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