> Markdown version of [/jobs/ext/4625983-machine-learning-scientist-l4-content-dse](https://www.wearedevelopers.com/jobs/ext/4625983-machine-learning-scientist-l4-content-dse). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Scientist (L4) - Content DSE - **Company:** Netflix, Inc. - **Location:** Los Angeles, CA, United States - **Salary:** $170,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Cognitive Science, Computer Programming, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, SQL Databases, Deep Learning, Information Technology, Data Pipelines, Unsupervised Learning - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25304_daece3c4d558afbb4b8131acc242e32e ## About the Role * You have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures. * Advanced degree (MS or Ph.D.) in Computer Science, Cognitive Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence, or computer vision. * Strong programming skills in R/Python and experience with appropriate ML, AI, Mathematical Psychology, or Deep Learning modeling frameworks. * Experience with SQL, or with building end-to-end data pipelines. * You have a strong track record of solving complex problems with innovative solutions. You are able to both develop novel algorithms and adapt existing methods from the literature to new challenges. * You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences. * You are a self-starter who thrives under a high level of autonomy in a fast-paced environment and is enthusiastic about Netflix's unique culture. ## Description We are seeking a Machine Learning Scientist to join the team. Your focus will be on developing foundational tools to support member analytics and understanding, including building models, exploring and charting their analytic implications, and developing and supporting high-impact ETLs and downstream tooling. This role features ample opportunity for project ownership and will support impactful decision-making. In success, you will collaborate on existing priorities but also will propose and execute on new opportunities. In this role, you will: * Design and implement state-of-the-art machine learning models for visual, audio, and textual data to enhance content understanding and improve content planning, content production, and promotion processes. * Collaborate with cross-functional teams, including product managers, engineers, data scientists, consumer researchers, and content teams, to define problem statements, define roadmaps, and execute on priorities. * Communicate complex concepts and the results of analyses with both technical and non-technical stakeholders to influence strategic decisions. * Engage with the ML community, internal and external, to learn, to teach, to contribute to building a great Netflix brand in ML. * Stay abreast of the latest developments in the field by attending conferences, reading research papers, and implementing promising novel ideas that can impact content workflows.