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Netflix Machine Learning Platform Product Manager Training United States, California 840421736
23.06.2024
We’ve used both Machine Learning and Artificial Intelligence throughout the company for years, from providing personalized recommendations to our members to optimizing operations.
We are looking for a highly technical Product Manager with demonstrated excellence in delivering platforms that enhance data scientist productivity. You’ll build up a comprehensive understanding of what ML teams throughout the company need to land critical projects. From there, you’ll build out a vision and drive a roadmap of platform capabilities necessary to accelerate ML development, especially for Generative AI use cases. You’ll also define and execute on continual measurement of ML practitioner productivity.
Primary Responsibilities:
- Build a vision of machine learning training workflows at Netflix, from data acquisition to model rollout
- Engage a broad set of customers to collect and clearly document requirements. Prioritize roadmaps to meet these needs.
- Drive execution and adoption of the ML Platform’s training tools across the various stakeholders for MLP: Consumer Engineering, Algorithms Engineering, Studio and Content Engineering and Data Science organizations
- Define new pathways to support Generative AI within the ML Platform
- Define Training Dataset preparation, discovery and consumption requirements
- Forge partnerships with other platform teams working on data & developer products. Advance a cross-team vision to accelerate ML development at Netflix
- Establish and follow through on regular measurement of success metrics like adoption and developer productivity
- Own regular communication to senior Netflix management as well as broad communication to ML practitioners at Netflix
Skills and Qualifications:
- 10+ years of experience in technical product management
- Extensive experience working and innovating on ML/AI platforms
- Deep understanding of ML / AI development tools, from cloud computing (AWS, Azure, GCP, etc.) to ML frameworks (PyTorch, Tensorflow, etc.) to orchestration systems (Kubeflow Pipelines, Metaflow, etc.)
- Knowledge and experience in defining, measuring, and improving developer productivity
- Strategic thinking and ability to craft and drive a vision for maximum positive business impact
- Demonstrated initiative in clarifying ambiguous projects and driving them to completion
- Demonstrated leadership experience working effectively with engineers, data scientists and ML practitioners
- Excellent written communication skills and ability to present technical content to non-technical audiences. Ability to partner with different functions to ensure that your solutions drive real business impact.
- Experience in identifying tradeoffs, surfacing needs for clarity, and driving decision-making
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $240,000-$725,000.
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