Senior Machine Learning Engineer - GenAI
Postuler maintenant Postuler ultérieurement Job ID 10127530 Emplacement New York, New York, États-Unis / Santa Monica, Californie, États-Unis / San Francisco, Californie, États-Unis Entreprise Disney Direct to Consumer Date de publication 31/07/2025Résumé du poste:
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.
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.
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.
Key Responsibilities
Unified ML Platform Development
- 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.
ML Ops & Deployment Infrastructure
- Drive the implementation of robust deployment pipelines, model versioning, testing frameworks, and CI/CD systems to support production-grade ML services.
Production Monitoring & Model Integrity
- 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.
Technology Innovation & Integration
- 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.
Cross-Functional Collaboration
- Partner with senior leaders across Data Science, Engineering, Product, Legal, and Governance to align on objectives, ensure compliance, and scale impact across the organization.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
- 5+ years working in DS/ML engineering or ML platform
- Strong foundation in applied data science, with experience building or supporting ML models in a business context
- Experience with Generative AI or interest in assessing and integrating emerging AI technologies
- Demonstrated expertise in ML Ops, AutoML, and productionizing machine learning at scale
- Familiarity with data ecosystems (e.g., SnowFlake, DataBricks), and modern ML tooling
- Strong communication, stakeholder management, and team-building skills
- Experience navigating privacy, compliance, and governance in machine learning workflows
Preferred Qualifications
- Master’s degree or PhD in Computer Science, Engineering, Mathematics, or a related field
#DISNEYANALYTICS
#DISNEYTECH
The 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.
Informations Supplémentaires:
DISNEYTECHSur Disney Direct to Consumer:
L’équipe « Direct to Consumer » de Disney supervise les activités de streaming Hulu et Disney+ au sein de Disney Entertainment, en aidant à apporter les meilleures histoires de The Walt Disney Company aux fans et aux familles partout dans le monde.
Sur The Walt Disney Company:
The Walt Disney Company, ainsi que ses filiales et sociétés affiliées, forme l’une des principales entreprises internationales diversifiées de divertissement familial et de médias. Elle comprend trois secteurs d'activités essentiels : Disney Entertainment, ESPN et Disney Experiences. Depuis ses modestes débuts en tant que studio de dessins animés dans les années 1920 jusqu’à son statut de référence actuel dans le secteur du divertissement, Disney poursuit fièrement sa tradition de création d’histoires et d’expériences exceptionnelles pour tous les membres de la famille. Les histoires, les personnages et les expériences de Disney touchent les consommateurs et les visiteurs du monde entier. À travers nos activités présentes dans plus de 40 pays, nos employés et cast members collaborent pour créer des expériences de divertissement appréciées à la fois au niveau universel et local.
Le poste est rattaché à Disney Streaming Services LLC , qui fait partie d’une entreprise que nous appelons Disney Direct to Consumer.
Disney Streaming Services LLC est un employeur qui souscrit au principe d’égalité des chances à l’emploi. Les candidat(e)s seront pris(es) en considération pour un emploi sans distinction de race, de religion, de couleur, de sexe, d’orientation sexuelle, de genre, d’identité de genre, d’expression de genre, d’origine nationale, d’ascendance, d’âge, d’état matrimonial, de statut militaire ou d’ancien combattant, d’état de santé, d’informations génétiques ou de handicap, ou de tout autre motif interdit par la loi fédérale, étatique ou locale. Disney défend un environnement commercial où les idées et décisions de tous et toutes nous aident à grandir, innover, créer les meilleures histoires et être pertinents dans un monde en évolution constante.