Ai Research Engineer • Senior

Who you are

You have a strong background in machine learning and software engineering, with experience in designing and developing scalable solutions that enhance user experiences. Your collaborative spirit allows you to work effectively with researchers, engineers, and product managers to drive impactful projects. You are skilled in optimizing machine learning models for performance and scalability, ensuring they meet the diverse needs of a global audience.

You have a proven track record of taking algorithms from concept to deployment in large-scale, real-time systems. Your experience includes designing and conducting offline experiments and A/B tests to validate algorithmic changes against key business metrics. You are committed to continuous improvement and staying at the forefront of industry practices in machine learning infrastructure and tooling.

What you'll do

As a Senior AI Research Engineer at Netflix, you will play a crucial role in enhancing our personalization systems. You will collaborate with cross-functional teams to develop and implement machine learning algorithms that improve recommendations and member experiences. Your responsibilities will include creating scalable, production-ready ML solutions and optimizing the performance of machine learning models.

You will engage in designing and conducting experiments to validate the impact of algorithmic changes, ensuring that our systems can handle the diverse tastes and behaviors of our global member base. Additionally, you will contribute to the ongoing improvement of our ML infrastructure, ensuring that we remain at the cutting edge of industry practices.

What we offer

At Netflix, you will be part of a team that is passionate about pushing the boundaries of storytelling and technology. We offer a collaborative environment where creativity and innovation thrive. You will have the opportunity to work on impactful projects that enhance the Netflix experience for millions of users worldwide. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.