Machine Learning Engineer 5 - Content & Studio

Design and implement algorithmic solutions that enhance the ability of our Promo Media and Marketing stakeholders to engage members and attract new subscribers in a cost-effective way. Collaborate with cross-functional teams, including product managers, engineers, and data scientists, to define problem statements, define roadmaps, and execute on priorities. Communicate complex concepts with both technical and non-technical stakeholders to influence strategic decisions. Keep up-to-date with the latest advancements in the field by exploring new technologies, tools, and methodologies, and apply these insights to enhance Promo Media and Marketing workflows. Contribute to the growth of the team and domain by exploring new directions and initiating projects with high potential for a substantial additional impact. You have a strong foundation in machine learning and deep learning, including supervised and/or unsupervised learning, and deep learning. Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field. Suitable programming skills in Python and experience with ML/DL frameworks such as PyTorch. You have demonstrated the ability to solve complex problems with innovative algorithmic solutions in the media and content creation space. You are able to both develop novel algorithms and adapt existing methods from the literature to new challenges. You have an entrepreneurial spirit, the ability to balance risk against reward, and a strong desire to initiate and execute on projects that are likely to have a large impact. You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences. You are collaborative and thrive in fast-paced dynamic environments, contributing positively to the team and company culture.

Netflix is the world's leading entertainment streaming service with over 223 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages.