PubMatic
Senior/Machine Learning Engineer — Performance Optimization
Redwood City, California · Senior
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Company H1B Sponsorship • PubMatic has a track record of offering H1B sponsorships, with 7 in 2026, 27 in 2025, 16 in 2024, 19 in 2023, 31 in 2022, 25 in 2021, 15 in 2020.
- Please note that this does not guarantee sponsorship for this specific role.
Responsibilities
- Develop and improve features, training datasets, labels, and evaluation workflows for performance advertising models
- Collaborate with performance advertising signal engineers to use model-ready features, labels, attribution windows, and feedback loops effectively
- Partner with engineering teams to deploy models into production decisioning systems and monitor their impact
Skills
- Experience training, evaluating, and improving production-oriented ML models
- Experience working with large datasets using SQL, Spark, Python, or similar tools
- Strong programming skills in Python, Java, Scala, Go, C++, or similar languages
- Ability to reason about model quality, data quality, business impact, and production tradeoffs
- Comfort working with ambiguous data problems and iterating through analysis, modeling, experimentation, and production deployment
- Familiarity with programmatic advertising, ad serving, attribution, pacing, identity, performance advertising, or real-time bidding
- Experience with TensorFlow, PyTorch, XGBoost, LightGBM, Spark ML, or similar ML frameworks
- Experience with A/B testing, online experimentation, model monitoring, or production ML observability
- Experience working with sparse labels, delayed feedback, biased datasets, or noisy attribution
- Experience working cross-functionally with product, engineering, analytics, or business stakeholders
Compensation
- $260k-$330k
Benefits
- Paid leave programs
- Dental and vision insurance
- Disability and life insurance
- Commuter benefits
- Reimbursement for mobile
- Restricted stock units
- Competitive benefits package
- Build, train, evaluate, and improve machine learning models for prediction, ranking, campaign optimization, bidding, forecasting, and calibration
- They are seeking a Machine Learning Engineer to help build and improve performance optimization models for their Activate platform, focusing on applying machine learning techniques to enhance advertiser outcomes.
Company info
- It was founded in 2006, and is headquartered in Redwood City, California, USA, with a workforce of 501-1000 employees.
- PubMatic is the leading AI-powered ad tech company delivering measurable advertising performance through an intelligent, unified platform.
Visa & Work Authorization
- Company H1B Sponsorship • PubMatic has a track record of offering H1B sponsorships, with 7 in 2026, 27 in 2025, 16 in 2024, 19 in 2023, 31 in 2022, 25 in 2021, 15 in 2020.
- Please note that this does not guarantee sponsorship for this specific role.
This listing is sourced directly from PubMatic's careers page and normalized into a canonical job model.