Machine Learning Scientist • Entry-Level

Who you are

You are an early-career professional with demonstrated academic or industry research experience in generative and reconstructive image and video models — you have a strong foundation in techniques such as Diffusion Models and Gaussian Splats, and you are eager to apply these skills to enhance video content quality. You possess a solid understanding of machine learning principles and are comfortable collaborating with interdisciplinary teams, including data scientists, engineers, and creative professionals.

You have experience with Python and popular machine learning frameworks like TensorFlow and Keras — you are familiar with designing and developing machine learning models that can improve image and video quality through techniques such as super-resolution and detail generation. Your curiosity drives you to stay updated on the latest academic research in the video-quality space, and you are excited about finding innovative ways to push the boundaries of what's possible in content creation.

What you'll do

In this role, you will design and develop machine learning models that enhance the quality of images and videos — you will focus on techniques such as super-resolution, detail generation, and SDR-to-HDR conversion. You will collaborate closely with interdisciplinary teams to align machine learning solutions with studio needs and creative goals, ensuring that the technology supports the vision of creators in the entertainment industry. You will also drive the deployment of these models, contributing to the efficiency of the content creation process and ultimately creating more joy for viewers around the world.

What we offer

At Netflix, you will be part of a team that is at the forefront of innovation in the entertainment industry — you will have the opportunity to work on cutting-edge technology that merges creativity and intuition with machine learning. We celebrate diversity and recognize that diverse teams build stronger products, and we encourage you to apply even if your experience doesn't match every requirement. Join us in our mission to entertain the world and be part of what’s next in storytelling.