PubMatic

Senior Principal Machine Learning Engineer - Optimization

Redwood City, California, USA · Principal · full-time

Sponsorship not specified$260k-$330kDetected 26 days ago

PythonJavaAlgorithmsSQLMachine LearningTensorFlowPyTorchSparkMLOpsStatisticsA/B TestingForecastingLeadershipCollaborationMentoring

About the role

This role is focused on applying machine learning, prediction, ranking, calibration, experimentation, and optimization techniques to improve campaign outcomes across performance advertising goals such as CTR, VCR, CPC, CPA, and ROAS.
Work on large-scale ML systems using signals from auctions, impressions, clicks, video events, conversions, users, context, inventory, campaigns, and marketplace feedback.
Improve model calibration, online/offline evaluation, experimentation, observability, and production feedback loops.

Develop models and algorithms that improve advertiser outcomes while balancing spend delivery, cost efficiency, campaign goals, marketplace dynamics, and system constraints.
Design and improve CTR, CVR, VCR, CPA, ROAS, app-install, user-value, and campaign-performance models.
Develop bidding, pacing-aware optimization, ranking, exploration, and value-estimation approaches for performance advertising.
Partner with performance advertising signal engineers to define model-ready features, labels, attribution windows, negative examples, training datasets, and online serving requirements.
Partner with engineering, product, analytics, and platform teams to translate model outputs into real-time decisioning systems.
Experience building large-scale prediction or optimization systems in production.

Experience with CTR/CVR prediction, conversion modeling, bid optimization, value modeling, forecasting, calibration, or performance optimization.
Strong ability to reason about model quality, business impact, system constraints, production tradeoffs, and online performance.
Experience working with large-scale data and distributed ML workflows.
Ability to provide technical leadership across ambiguous, high-impact optimization problems.

Experience in ads, search, recommendations, marketplaces, e-commerce, fintech, pricing, bidding, or real-time optimization systems.
Experience with performance advertising goals such as CTR, VCR, CPC, CPA, ROAS, app install, retargeting, or user-value optimization.
Familiarity with real-time bidding, programmatic advertising, ad serving, attribution, pacing, identity, incrementality, or performance advertising.
Experience with model calibration, model observability, A/B testing, online experimentation, incrementality testing, or lift measurement.
Experience working cross-functionally with product, engineering, analytics, and business stakeholders.
Preferred Experience: Experience in ads, search, recommendations, marketplaces, e-commerce, fintech, pricing, bidding, or real-time optimization systems.

Strong engineering skills in Python, Java, SQL, Spark, TensorFlow, PyTorch, XGBoost, or similar technologies.

Range $260,000-$330,000 USD
New hires and current team members are typically compensated toward the middle of our pay range.
Total Compensation Range $260,000-$330,000 USD

In addition to salary PubMatic also offers a bonus, restricted stock units, and a competitive benefits package.
Build and improve machine learning models for campaign optimization, prediction, ranking, bidding, forecasting, and calibration.
10+ years of experience building production machine learning, ranking, recommendation, prediction, optimization, ads, marketplace, bidding, or pricing systems.
Strong understanding of supervised learning, ranking, calibration, causal thinking, experimentation, statistical evaluation, and model monitoring.

PubMatic is proud to be an equal opportunity employer; we don't just value diversity, we promote and celebrate it.
We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world's leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes.
Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand. #LI-HYBRID Compensation Disclosure In accordance with applicable law, the below salary range provided is PubMatic's reasonable estimate of the total compensation for this role.
New hires and current team members are typically compensated toward the middle of our pay range.

This listing is sourced directly from PubMatic's careers page and normalized into a canonical job model.