Job Posting Title:Senior Machine Learning Engineer - GenAIReq ID:10127530Job Description:<div><div>The Senior Machine Learning Engineering (MLE) team enables Data Scientists to build, deploy, and scale machine learning solutions across a broad range of use cases—Personalization, Forecasting, Marketing, Content and Audience Segmentation, Payments Optimization, Fraud Prevention, Live Time Value prediction, and more. MLE partner closely with Data Scientists to design scalable data pipelines, launch performant models, and maintain critical ML systems in production. These efforts drive decisions that impact millions of consumers and generate significant revenue for The Walt Disney Company. </div><div>The Senior Machine Learning Engineer works with a high-performing team of data scientists and ML engineers who design, build, and support our unified ML platform. This includes developing AutoML capabilities, development and maintenance of Feature Mart, enabling end-to-end ML Ops workflows, and implementing robust model monitoring and drift detection. </div><div>The Senior Machine Learning Engineer also collaborates across departments to ensure infrastructure aligns with business needs and explores emerging technologies, including Generative AI, to keep Disney at the forefront of applied machine learning. </div><div> </div><div>Key ResponsibilitiesUnified ML Platform Development </div><div><ul><li>Lead the development of a standardized, reusable ML platform (AutoML) to support rapid model development for Data Scientists. Ensure scalability, flexibility, and integration with enterprise systems. </li></ul></div><div>ML Ops &amp; Deployment Infrastructure <ul><li>Drive the implementation of robust deployment pipelines, model versioning, testing frameworks, and CI/CD systems to support production-grade ML services. </li></ul></div><div>Production Monitoring &amp; Model Integrity <ul><li>Establish systems for automated monitoring, drift detection, performance evaluation, and alerting. Act as the first line of defense for live model health and data quality assurance. </li></ul></div><div>Technology Innovation &amp; Integration <ul><li>Stay on the cutting edge of ML technologies—including Generative AI, foundation models, vector databases, and LLMOps. Assess, pilot, and integrate relevant innovations that enhance modeling workflows or business capabilities. </li></ul></div><div>Cross-Functional Collaboration <ul><li>Partner with senior leaders across Data Science, Engineering, Product, Legal, and Governance to align on objectives, ensure compliance, and scale impact across the organization. </li></ul></div><div> </div><div>Required Qualifications </div><div><ul><li>Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field </li></ul></div><div><ul><li>5+ years working in DS/ML engineering or ML platform </li></ul></div><div><ul><li>Strong foundation in applied data science, with experience building or supporting ML models in a business context </li></ul></div><div><ul><li>Experience with Generative AI or interest in assessing and integrating emerging AI technologies </li></ul></div><div><ul><li>Demonstrated expertise in ML Ops, AutoML, and productionizing machine learning at scale </li></ul></div><div><ul><li>Familiarity with data ecosystems (e.g., SnowFlake, DataBricks), and modern ML tooling </li></ul></div></div><div><div><ul><li>Strong communication, stakeholder management, and team-building skills </li></ul></div><div><ul><li>Experience navigating privacy, compliance, and governance in machine learning workflows </li></ul></div><div> </div><div>Preferred Qualifications </div><div><ul><li>Master’s degree or PhD in Computer Science, Engineering, Mathematics, or a related field </li></ul></div></div>#DISNEYANALYTICS#DISNEYTECHThe hiring range for this position in New York, NY is $145,500 to $195,000 per year. Santa Monica, CA is $138,900 to $186,200 per year, San Francisco, CA is $152,100 to $203,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.Job Posting Segment:Direct to ConsumerJob Posting Primary Business:DTC Analytics and Data SciencePrimary Job Posting Category:Data EngineeringEmployment Type:Full timePrimary City, State, Region, Postal Code:San Francisco, CA, USAAlternate City, State, Region, Postal Code:USA - CA - 2500 Broadway Street, USA - NY - 7 Hudson SquareDate Posted:2025-07-31

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