Senior Software Engineer, Machine Learning

Who you are

You have 5+ years of experience in software engineering with a strong focus on machine learning — you've developed and deployed machine learning models that drive business impact and enhance user experiences. Your proficiency in Python is complemented by your knowledge of machine learning frameworks such as TensorFlow and Keras, allowing you to build robust and scalable solutions. You are familiar with cloud services, particularly AWS, and understand how to leverage them for machine learning applications. You thrive in collaborative environments, working closely with cross-functional teams to integrate machine learning solutions into existing systems. You are detail-oriented and have a strong analytical mindset, enabling you to troubleshoot and optimize machine learning models effectively. We encourage you to apply even if your experience doesn't match every requirement.

What you'll do

In this role, you will be responsible for designing and implementing machine learning models that enhance Roku's commerce and payment systems. You will collaborate with product managers and engineers to identify opportunities for machine learning applications that can improve transaction processing and user engagement. Your work will involve data preprocessing, feature engineering, and model training, ensuring that the solutions you develop are both effective and efficient. You will also be tasked with monitoring model performance and iterating on your designs based on feedback and data analysis. Additionally, you will contribute to the development of best practices for machine learning within the team, sharing your knowledge and expertise with colleagues to foster a culture of continuous improvement.

What we offer

Roku provides a dynamic work environment where innovation is encouraged and rewarded. You will have the opportunity to work on cutting-edge technologies that impact millions of users worldwide. We offer competitive compensation and benefits, including opportunities for professional development and growth within the company. Join us in our mission to transform the way the world watches TV and be part of a team that values collaboration, creativity, and excellence.