Principal Machine Learning Operations Engineer

at  Integral Ad Science

Integral Ad Science (IAS) is a global technology and ad measurement company that builds verification, optimization, and analytics solutions for the advertising industry, and we are looking for a Principal Machine Learning Operation Engineer to join our Research and Development (R&D) team. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day; and evaluate thousands of data-points in real-time all while responding in just a few milliseconds, then IAS is the place for you!
As a Principal Machine Learning Operations Engineer, you will work within the Data Science and Machine Learning team to design and implement data pipelines, and build and run models into large scale production systems. This role is ideal for engineers who enjoy working in a collaborative and agile environment and solving complex problems using innovative solutions with a desire to improve the status quo.

• Develop and deploy scalable tools and services to handle machine learning training and inference
• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
• Facilitate the development and deployment of proof-of-concept machine learning systems
• Communicate with machine learning researchers, data scientists, data engineers, and architect and document the processes
• Design the data pipelines and engineering infrastructure to support our machine learning systems at scale
• Data science models testing, validation, and tests automation