Machine Learning Engineer
- 305 Main St, Redwood City, CA 94063, USA
PubMatic is a publisher-focused sell-side platform for an open digital media future. We exist to help our clients succeed. We work tirelessly to optimize your performance while our SSP enables you to make smart, strategic decisions.
Featuring leading omni-channel revenue automation technology for publishers and enterprise-grade programmatic tools for media buyers, PubMatic's publisher-first approach enables advertisers to access premium inventory at scale.
Processing over one trillion ad impressions per month, PubMatic has created a global infrastructure to drive publisher monetization and control over their ad inventory.
Since 2006, PubMatic's focus on data and technology innovation has fueled the rise of the programmatic industry as a whole. Headquartered in Redwood City, California, PubMatic operates 13 offices and six data centers worldwide.
We are looking for a proven Machine Learning and Data Science Engineer, someone who will develop, implement and extend data-intensive machine learning software for real-time auctioning, ad inventory estimation, audience segmentations, and other AdTech applications.
You will work with members of Data Science and AdServing teams to apply data science and machine learning skills, to help design and implement core components of our algorithms, and to help model and monetize the large amounts of data that PubMatic generates daily.
Development and implementation of data-intensive machine learning software for real-time auctioning, ad inventory estimation, audience segmentations, and other AdTech applications
Ensuring excellence in delivery to internal and external customers
Working with data scientists, product managers, and software engineers to develop and support the software for new Machine Learning products
MS / PhD in Computer Science or related fields
5+ years of experience in Data Science and Machine Learning
3+ years hands-on industry experience in designing and building large-scale data, machine learning, and analytics applications and pipelines that are well-designed, cleanly coded, well-documented, operationally stable, and timely delivered
Experience with R, Python data analysis libraries (pandas, sklearn, numpy, scipy, and matplotlib), and Spark MLlib
Proficiency with Spark, Hadoop, Kafka, Hive, and SQL
Solid software engineering skills, with proficiency in Python and experience with Scala, Java, C/C++
Experience and domain knowledge in the AdTech industry, especially in programmatic advertising/RTB is a plus
All your information will be kept confidential according to EEO guidelines.