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Senior Principal Machine Learning Engineer – Optimization
PubMaticSenior Principal Machine Learning Engineer focused on building high-scale optimization capabilities for PubMatic’s Activate platform. Applying ML techniques to improve campaign performance in a hybrid role based in Redwood City, CA.
Posted 6/24/2026full-timeRedwood City • California • 🇺🇸 United StatesSenior💰 $260,000 - $330,000 per yearWebsite
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
machine learningrankingpredictionoptimizationbiddingcalibrationsupervised learningstatistical evaluationmodel monitoringconversion modeling
Soft Skills
technical leadershipmentorshipreasoningproblem-solvingcollaboration
Tools & Technologies
PythonJavaSQLSparkTensorFlowPyTorchXGBoostlarge-scale datadistributed ML workflowsreal-time decisioning systems
Certifications & Qualifications
BS in Computer ScienceMS in Computer SciencePhD in Computer ScienceBS in Machine LearningMS in Machine LearningPhD in Machine LearningBS in StatisticsMS in StatisticsPhD in StatisticsBS in Mathematics
Industry Keywords
performance advertisingcampaign optimizationCTRCVRCPAROASapp-installuser-valuemarketplace dynamicsattribution
Tech Stack
Tools & technologiesJavaPythonPyTorchSparkSQLTensorflow
About the role
Key responsibilities & impact- Build and improve machine learning models for campaign optimization, prediction, ranking, bidding, forecasting, and calibration.
- Develop models and algorithms that improve advertiser outcomes while balancing spend delivery, cost efficiency, campaign goals, marketplace dynamics, and system constraints.
- Work on large-scale ML systems using signals from auctions, impressions, clicks, video events, conversions, users, context, inventory, campaigns, and marketplace feedback.
- 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.
- Improve model calibration, online/offline evaluation, experimentation, observability, and production feedback loops.
- Reason through sparse conversions, delayed feedback, biased logs, cold-start campaigns, attribution noise, and online/offline metric mismatch.
- 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.
- Help evolve Activate from a media buying execution platform into a performance optimization platform.
- Provide technical leadership and mentorship to engineers and applied scientists working on performance optimization problems.
Requirements
What you’ll need- 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.
- 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.
- Strong engineering skills in Python, Java, SQL, Spark, TensorFlow, PyTorch, XGBoost, or similar technologies.
- Ability to provide technical leadership across ambiguous, high-impact optimization problems.
- BS, MS, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related technical field.
Benefits
Comp & perks- Paid leave programs
- Paid holidays
- Healthcare, dental and vision insurance
- Disability and life insurance
- Commuter benefits
- Physical and financial wellness programs
- Unlimited DTO in the US (that we actually require you to use!)
- Reimbursement for mobile
- Fully stocked pantries plus in-office catered lunches 5 days per week.