Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in machine learning and software engineering, with a strong foundation in building and deploying machine learning models. Your expertise in Python allows you to write clean, efficient code that scales effectively. You are familiar with various machine learning frameworks, particularly TensorFlow and Keras, and have a solid understanding of algorithms and data structures. You thrive in collaborative environments and enjoy working with cross-functional teams to deliver impactful solutions. You are passionate about leveraging data to enhance user experiences and are eager to contribute to innovative projects that shape the future of streaming.

Desirable

Experience with recommendation systems or personalization algorithms is a plus. Familiarity with cloud platforms such as AWS or GCP can enhance your contributions to the team. You are also open to exploring new technologies and methodologies to improve the performance and efficiency of machine learning models.

What you'll do

As a Senior Machine Learning Engineer at Roku, you will be at the forefront of developing cutting-edge recommendation systems that enhance user engagement. You will apply state-of-the-art machine learning techniques to build algorithms that deliver personalized content to millions of users. Your responsibilities will include designing and implementing machine learning models, conducting experiments to evaluate their performance, and iterating on solutions based on user feedback and data analysis. You will collaborate closely with data scientists, software engineers, and product managers to ensure that the recommendations align with user needs and business goals. You will also mentor junior engineers, sharing your knowledge and best practices to foster a culture of learning and innovation within the team.

What we offer

At Roku, you will be part of a fast-growing company that values creativity and collaboration. We offer competitive compensation and benefits, including opportunities for professional development and growth. You will work in a dynamic environment where your contributions will directly impact the user experience for millions of TV streamers worldwide. Join us in our mission to revolutionize the way people watch TV and be part of a team that is shaping the future of streaming technology.