Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in software engineering with a focus on machine learning systems — your experience includes building and deploying scalable ML models in production environments. You are proficient in Python and have hands-on experience with AWS services, enabling you to design and implement robust ML infrastructure. You understand the intricacies of real-time and batch processing, and you are comfortable working with large datasets to optimize model performance.

You thrive in collaborative environments, working alongside applied scientists and product managers to drive innovation in ML applications. Your problem-solving skills are complemented by your ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. You are passionate about creating user-friendly ML development environments that empower teams to leverage machine learning effectively.

What you'll do

As a Machine Learning Engineer at Twitch, you will be responsible for developing and maintaining the ML infrastructure that powers personalized content recommendations for millions of users. You will collaborate with cross-functional teams to ensure the reliability and efficiency of ML models in production. Your role will involve designing scalable systems for model training and deployment, as well as managing data pipelines to support real-time analytics.

You will take ownership of the ML platform, ensuring it meets the needs of various teams while maintaining high standards of performance and usability. Your work will directly impact how users discover content on Twitch, making it essential to stay updated with the latest advancements in machine learning technologies. You will also mentor junior engineers, sharing your expertise and fostering a culture of continuous learning within the team.

What we offer

At Amazon, we provide a comprehensive benefits package that includes competitive salaries, health and wellness programs, and opportunities for professional development. You will be part of a dynamic team that values collaboration and innovation, working in an environment that encourages creativity and growth. We believe in empowering our employees to make a difference and contribute to the success of our mission to connect creators and viewers worldwide.