Senior Software Engineer, Machine Learning

The future will not be televised. It will be streamed. Help us make it happen.

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 around the world while gaining meaningful experience across a variety of disciplines.

About the role

The data and advertising group at Roku is looking for seasoned backend engineer with a background in machine learning to improve our ad experiences. Examples of such problems include improving ad-relevance, inferring demographics, yield optimization and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.

**What you’ll be doing

**

• ML-Infrastructure: Help build a first-class machine learning platform from the ground up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality.
• Data Analysis/Feature Engineering: Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models.
• Model training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Decision Trees, Logistic Regression, Bayesian Analysis, Neural Networks and others to develop and evaluate algorithms to improve product/system performance, quality and accuracy.
• Low level systems debugging, performance measurement & optimization on large production clusters.

**We’re excited if you have

**

• First-hand experience in applied machine learning on real use cases (brownie points for ad-tech related use cases!).
• Experience with ML/distributed ML frameworks like Spark-MLlib, TensorFlow etc.
• Experience with real-time scoring/evaluation of models with low latency constraints.
• Great coding skills and strong software development experience (we use Spark, Scala and Java a lot).
• Can work with large scale computing frameworks, data analysis systems and modeling environments. Examples include technologies like Spark, Hive, NoSQL stores etc.
• Bachelors, Masters or PhD program in Computer Science/Statistics or a related field.
• Ad-tech background is a plus.

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.

#LI-MT2