Senior Software Engineer, Ad Insights and Measurement

Do you want to re-write the rules of modern advertising?

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the US, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable and valued contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers worldwide while gaining meaningful experience across various disciplines.

Sr Software Engineer, Ad Insights and Measurement

Our team's mission is to build and deliver cutting-edge Insights and Measurement products that help grow sustainable Advertising business at Roku. We work on cloud-based Big Data pipelines, Analytics methodologies, and ML models that generate actionable Insights and Measurement data.

We are looking for a skilled Senior Engineer to join our team. The ideal candidate has strong experience building and optimizing Big Data pipelines for Analytics and ML use cases. In this role, you will influence and contribute to large scale Ad Insights, Measurement, and Planning products with visible customer impact!

What you'll be doing:

• Work closely with Engineers and Architects to design, build, and optimize Big Data Analytics pipelines
• Contribute to high performance approximation and sampling methodologies and ML models in collaboration with Data Scientists
• Design and build large scale data extraction, data preparation, and data loading components from a variety of input sources
• Deliver data products that offer actionable insights and allow for critical discoveries around key performance indicators for advertising customers
• Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects

We're excited if you have:

• Bachelor's Degree in Computer Science, Information Systems or equivalent quantitative field and 5+ years of experience in a Big Data and Analytics Engineering role (Master's preferred)

• Strong experience with Apache Spark and one of more of Java, Scala, or Python on Spark (Experience with Spark internals and Spark Streaming will be a big plus!)

• Experience working with data and feature extraction from large and unstructured datasets

• Experience working with high performance probabilistic data structures and sampling techniques (such as Data Sketches and HyperLogLog)

• Demonstrated ability to build and optimize Data and Analytics pipelines that support data transformations and feature extraction with great attention to detail

• Strong interpersonal and project management skills and ability to work with cross-functional teams

• Experience with Machine Learning models, Advertising domain, data stores like Druid/Snowflake a big plus!

Tools and technologies we use every day:

• Apache Spark (RDDs, DataFrames, SQL, Analytics algorithms)
• Hadoop, Hive, Druid, Presto, Snowflake
• Data pipeline/workflow management tools such as Airflow
• AWS cloud services such as EC2, EMR, S3, RDS and Redshift

The Roku culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.