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PubMatic

Senior Principal Machine Learning Engineer - Optimization

PubMatic · Redwood City, US; Remote

Posted about 2 months ago

or apply directly on PubMatic's site. We never take the application ourselves.

Is this posting real?

This role has been open
65 days
PubMatic's roles stay open a median of 66 days
Reposted
No
Salary listed
No
0% of PubMatic's roles list one
Ghost-job risk at PubMatic
high
70 stale, 0 reposted of 77 open
Hiring momentum
87 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from PubMatic's own greenhouse board since 2026-08-03. Full hiring picture for PubMatic.

About this role

The Senior Principal Machine Learning Engineer will focus on developing and enhancing machine learning models for performance optimization within PubMatic's Activate platform. Daily responsibilities include building models for campaign optimization, collaborating with various teams to translate model outputs into decision-making systems, and providing technical leadership on complex optimization challenges. The role requires a strong foundation in machine learning and experience with large-scale production systems.

Our read on this posting3.2out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of PubMatic as an employer.

What you need

  • Experience building large-scale prediction or optimization systems
  • 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 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

Nice to have

  • Experience in ads, search, recommendations, marketplaces, e-commerce, fintech, pricing, bidding, or real-time optimization systems
  • Familiarity with real-time bidding, programmatic advertising, ad serving, attribution, pacing, identity, incrementality, or performance advertising
  • Experience with exploration/exploitation, counterfactual evaluation, uplift modeling, delayed-feedback modeling, or learning under biased logs
  • 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

What you get

  • Paid leave programs
  • Paid holidays
  • Healthcare, dental and vision insurance
  • Disability and life insurance
  • Commuter benefits
  • Physical and financial wellness programs

Worth weighing

  • Role is hybrid but remote candidates may be considered for the right fit
  • Salary range provided is $260,000 — $330,000 USD, but actual compensation may vary based on various factors
  • The position requires strong technical leadership in ambiguous situations, which may involve navigating complex challenges

Summarised from PubMatic's posting. Read the full original.

Listed by PubMatic on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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