Senior Machine Learning Engineer - GenAI
Aplicar ahora Aplique más tarde Job ID 10127530 Ubicación Nueva York, Nueva York, Estados Unidos / Santa Mónica, California, Estados Unidos / San Francisco, California, Estados Unidos Business Disney Direct to Consumer Fecha de publicación 31/07/2025Detalles del empleo:
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.
Información adicional:
DISNEYTECHAcerca de Disney Direct to Consumer:
El equipo Direct to Consumer de Disney supervisa los negocios de streaming de Hulu y Disney+ dentro de Disney Entertainment, lo que permite llevar la inigualable narrativa de The Walt Disney Company a los aficionados y familias de todo el mundo.
Acerca de The Walt Disney Company:
The Walt Disney Company, junto con sus subsidiarias y afiliadas, es una empresa internacional diversificada líder en entretenimiento familiar y medios de comunicación que incluye tres segmentos comerciales principales: Disney Entertainment, ESPN y Disney Experiences. Desde sus humildes comienzos como estudio de dibujos animados en la década de 1920 hasta su reconocido nombre en la industria del entretenimiento en la actualidad, Disney continúa con orgullo su legado de crear historias y experiencias de clase mundial para toda la familia. Las historias, los personajes y las experiencias de Disney llegan a consumidores e invitados de todos los rincones del mundo. Con operaciones en más de 40 países, nuestros empleados y miembros del elenco trabajan juntos para crear experiencias de entretenimiento que sean apreciadas a nivel local y global.
Este puesto es en Disney Streaming Services LLC , que forma parte de una empresa comercial que denominamos Disney Direct to Consumer.
Disney Streaming Services LLC es un empleador que ofrece igualdad de oportunidades. Los solicitantes recibirán consideración para el empleo independientemente de su raza, religión, color, sexo, orientación sexual, género, identidad de género, expresión de género, nacionalidad, ascendencia, edad, estado civil, condición de militar o veterano, afección médica, información genética o discapacidad, o cualquier otro fundamento prohibido por la ley federal, estatal o local. Disney defiende un entorno empresarial donde las ideas y decisiones de todas las personas nos ayudan a crecer, innovar, crear las mejores historias y ser relevantes en un mundo en constante evolución.