Job Description

Company Description
PubMatic (Nasdaq: PUBM) is an independent technology company maximizing customer value by delivering digital advertising\xe2\x80\x99s supply chain of the future. PubMatic\xe2\x80\x99s sell-side platform empowers the world\xe2\x80\x99s leading digital content creators across the open internet to control access to their inventory and increase monetization by enabling marketers to drive return on investment and reach addressable audiences across ad formats and devices. Since 2006, our infrastructure-driven approach has allowed for the efficient processing and utilization of data in real time. By delivering scalable and flexible programmatic innovation, we improve outcomes for our customers while championing a vibrant and transparent digital advertising supply chain.


PubMatic is seeking an engineering leader who can head the Machine Learning Team in India and deliver the next generation machine learning solutions by influencing talented machine learning engineers. If you get excited about solving highly impactful business problems by using machine learning on large datasets, in a creative and fast-paced open cultured environment, then you should consider applying for this position. Requirements:

• Ability to collaborate with product and engineering leaders to deliver solutions with strategic planning across multiple functional groups
• Proven ability to inspire, mentor, and develop team members to deliver value consistently
• Good experience in software design and architecture.
• Good experience in building complex and scalable Machine Leaning solutions.
• Distinctive problem-solving skills and impeccable business judgment.
• Perform code and design reviews.
• Research, learn, design, and build scalable Machine Learning workflows.
• Demonstrate ownership and commitment.
• Demonstrate excellent verbal and written communication skills.
• 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

Qualifications

• BA/BS or MS degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences)
• 3+ years of hands-on experience with design + implementation of Machine Learning models for solving 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 design of ETL flows
• Work experience in an inter-disciplinary/cross-functional field
• Experience in Big Data (spark, AWS etc.) platforms and Advertising will be good to have
• Deep interest and aptitude in data, metrics, analysis, trends and applied knowledge of measurement, statistics and program evaluation
• Capable of translating analysis results into business recommendations

Additional Information
Return to Office: PubMatic employees throughout the global have returned to our offices via a hybrid work schedule (3 days \xe2\x80\x9cin office\xe2\x80\x9d and 2 days \xe2\x80\x9cworking remotely\xe2\x80\x9d) 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 stock options, paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we\xe2\x80\x99re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more! Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don\xe2\x80\x99t 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.