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PubMatic

SSP for publishers, optimizes ad revenue

Senior Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • Five plus years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib.
  • Experience with articulating product questions and using statistics to arrive at an answer.
  • Experience with scripting in SQL - extracting large data sets and designing ETL flows.
  • Work experience in an inter-disciplinary/cross-functional field.
  • Deep interest and aptitude in data, metrics, analysis, and trends, and applied knowledge of measurement, statistics, and program evaluation.
  • Distinctive problem-solving skills and impeccable business judgment.
  • Capable of translating analysis results into business recommendations.
  • Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities.

Responsibilities

  • Perform deep dive analysis to understand and optimize the key product KPIs.
  • Apply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products.
  • Conduct data analysis to make product recommendations and design A/B experiments.
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
  • Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.

About the Company

PubMatic

SSP for publishers, optimizes ad revenue

PubMatic provides a digital advertising platform that helps publishers boost revenue from websites and apps through a Supply-Side Platform (SSP). The SSP lists ad space, connects publishers with advertisers, and uses real-time bidding to award impressions to the highest bidder. The company earns a commission on successful ad placements and offers analytics, audience targeting, identity solutions, and support for video and CTV ads. Its goal is to help publishers maximize ad revenue by efficiently monetizing inventory and improving reach.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Redwood City, CA
Founded
2006

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