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About This Role
About the Role:
We are immediately hiring a results-oriented Lead Machine Learning Engineer to join our growing team in Redwood City, CA on a hybrid schedule. Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business. The ideal candidate will apply quantitative analysis, modeling and data mining to help drive informed product decisions for PubMatic + get things done.
What You'll Do:
Be a hands-on technical leader working closely with Product and Engineering teams.
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
We'd Love for You to Have:
Quantitative BS or MS degree (e.g., Physics , Statistics , Mathematics , Economics , or Computer Science )
4+ 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
Proven ability to inspire, mentor, and develop people to deliver value consistently
Experience with articulating product questions and using statistics to arrive at an answer
Experience with scripting in SQL - extracting large data sets and design of ETL flows
Work experience in an inter-disciplinary/cross-functional field
Deep interest and aptitude in data, metrics, analysis, 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
Additional Information
Return to Office : PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions.
Benefits: Our benefits package includes the best of what leading organizations provide such as, 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 and fully stocked pantries plus in-office catered lunches 5 days per week.
Diversity and Inclusion : 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.
Compensation Disclosure
In accordance with applicable law, the below salary rang e 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. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skill s and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units, and a competitive benefits package. Total Compensation Range $250,000 — $325,000 USD
Salary Context
This $250K-$325K range is above the 75th percentile for AI/ML Engineer roles in our dataset (median: $172K across 745 roles with salary data).
View full AI/ML Engineer salary data →Role Details
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