Machine Learning Engineer

  • 305 Main St, Redwood City, CA 94063, USA
  • Full-time

Company Description

PubMatic is the automation solutions company for an open digital media industry. 

Featuring the leading omni-channel revenue automation platform for publishers and enterprise-grade programmatic tools for media buyers, our publisher-first approach enables advertisers to access premium inventory at scale. 

Processing nearly one trillion ad impressions per month, PubMatic has created a global infrastructure to activate meaningful connections between consumers, content and brands. 

Since 2006, our focus on data and technology innovation has fueled the growth of the programmatic industry as a whole. Headquartered in Redwood City, California, PubMatic operates 11 offices and six data centers worldwide. 

See how we work at https://vimeo.com/103893936

Job Description

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.

Responsibilities include:

Development and implementation of data-intensive machine learning software for real-time auctioning, ad inventory estimation, audience segmentations, and other AdTech applications

Ensure excellence in delivery to internal and external customers

Work with data scientists, product managers, and software engineers to develop and support the software for new machine learning products

Qualifications

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

Additional Information

All your information will be kept confidential according to EEO guidelines.