Lead Machine Learning Engineer

PubMatic • Redwood City, CA

2d • Hybrid

About The Position

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

Requirements

• 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

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees