We are seeking a Senior Machine Learning Engineer to join the PlutoTV pod. Your "North Star" mission is the personalization of the Linear/FAST experience, specifically focusing on Channel presentation, scheduling, and guide personalization. You will bridge the gap between traditional TV and modern ML, ensuring the Electronic Programming Guide (EPG) feels dynamic and tailored to every viewer. As a Senior Engineer, you will lead the design of complex scheduling and ranking features in our GCP-based stack. You will tackle the unique assignment of personalizing content that is tied to a specific time slot, utilizing TensorFlow and PyTorch to predict what a user wants to watch now versus what they might want to watch in an hour. This role is crucial for reinventing the PlutoTV experience from a static grid to a personalized discovery engine, building models for channel scheduling to maximize viewership, and applying modern ML techniques to the fastest-growing sector of the streaming market.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees