Senior Software Engineer

2 weeks ago

Manchester, United Kingdom NextPit GmbH Full time

Senior Software Engineer - Machine Learning

Teamwork makes the stream work.
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 Team

Roku is building a world class voice system that is used by millions of Roku users. You will be joining a talented, high-performance team working on a cutting edge conversation AI system with a history of delivery. As a machine learning engineer on the team, we are looking for someone who can help us keep up this pace and continue delivering high quality as we grow.

About the Role

The Roku Voice Service team is looking for a senior software engineer machine with experience building machine learning systems in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, conversational systems and building large scale production systems.

What you'll be doing

Design and developing machine learning driven cloud systems with high availability and high-performance
Orchestrate and serve machine learning pipelines to handles voice queries, speech recognition, natural language understanding, search, and dialog systems at scale
You will be working across teams, pulling in the best talent from the organization to achieve goals
You will be contributing new ideas and evaluating multiple solutions with your peers before settling down on specific solutions
You are a fast learner and always willing to learn new technologies
You have an interest in voice-powered technologies and products

We're excited if you have

BS. Computer Science, Electrical Engineering, or related field
Experience working with cloud technologies. Have a good working knowledge of AWS or experience using Kubernetes
Experience in building and scaling backend services
Experience with AI technologies such as machine learning/deep learning, LLM, and dialog manager
Experience with Machine LearningOps tools such as airflow, MLflow, or KubeFlow
Experience using SQL to fetch and analyse data from big data platforms
Experience in NodeJS, GoLang, and Python is a plus
Proficient in Linux, Docker, and related tools
A stickler for automation, unit testing, regression testing, load testing and anything that improves the quality of the code
#LI-AM3
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.

To learn more about Roku, our global footprint, and how we've grown, visit #J-18808-Ljbffr

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