Pubmatic - Redwood City, CA
posted 3 months ago
PubMatic is seeking a Sr Principal Machine Learning Engineer to join our team in Redwood City, CA, on a hybrid schedule. This position reports to the SVP of Addressability & Marketplace and is designed for a proven 'doer' who will develop, implement, and extend data-intensive machine learning software for real-time auctioning, ad inventory estimation, and audience segmentations. The successful candidate will work closely with our Big Data, Ad Serving, and Product Managers to apply machine learning techniques to create proofs of concept (POCs) and lead data scientists in implementing these POCs into production and scaling up the solutions. In this role, you will be responsible for designing and implementing core components of our algorithms, modeling the vast amounts of data generated daily by PubMatic. You will develop and implement data-intensive machine learning software for various AdTech applications, ensuring excellence in delivery to both internal and external customers. There is also an opportunity for people leadership within the team, should that interest you. The ideal candidate will have a strong background in machine learning, with a PhD in a STEM field and at least 3 years of hands-on industry experience in designing and building large-scale ML algorithms and ETL processes. You will need to demonstrate solid experience with programming languages such as Python or R, including familiarity with ML libraries and deep learning frameworks. A strong foundation in statistics, probability, and vector calculus is essential, along with advanced SQL or NoSQL skills. Excellent communication skills and a natural curiosity for learning about ML developments are also crucial for success in this role.