Sr Machine Learning Engineer
Aplicar ahora Aplique más tarde Job ID 10100853 Ubicación Santa Mónica, California, Estados Unidos / Bristol, Connecticut, Estados Unidos / San Francisco, California, Estados Unidos / Nueva York, Nueva York, Estados Unidos / Seattle, Washington, Estados Unidos Business Disney Entertainment & ESPN Technology Fecha de publicación 27/09/2024Detalles del empleo:
Department/Group Overview:
Disney Entertainment & ESPN Technology
On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.
A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology
- Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.
- Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
- Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.
Job Summary:
The Search Machine Learning (ML) team powers the ML aspects of search engines for Disney+ and Hulu platforms, in a highly collaborative environment. ML-based services are embedded inside the entire life cycle of search journey, from query understanding, semantic retrieval, and engagement-based re-ranking of contents. Working closely with our search core counterpart team and product stakeholders, we are constantly testing new ideas, and bringing the proven ones into fruition, through experimentation.
In this role, you will be responsible for maintaining and iterating on the training jobs and inference endpoints for our ML micro-services that power Hulu Search Engine. In this role, you will be partnering closely with data engineering/data science leads, and work together towards constant iterations on our state-of-the-art ML micro-services.
Responsibilities and Duties of the Role:
- Design and develop batch training jobs (both on CPU and GPU) and inference endpoints on both on-prem and cloud resources.
- Ensure healthy training configurations for tensorflow/pytorch training jobs, and serving layers (through both gRPC and REST).
- Helping data scientists by packaging their model into well-known frameworks such as pyTorch, lightGBM, and ready for production.
- Set up MLOps workflows (both deployment and maintenance) using the state-of-the-art MLOps tools.
- Ability to work on multi-faceted projects with engineers from diverse backgrounds, heterogenous skills and across teams.
- Work in an Agile environment that focuses on collaboration and teamwork
Required Education, Experience/Skills/Training:
Basic Qualifications
- 5+ years of software experience, with 3+ years of relevant ML and software experience
- Knowledge of the Python/Java ecosystem.
- Knowledge of either pyTorch or Tensorflow frameworks.
- Experience deploying and running services in AWS.
- Expertise with ML pipelines, algorithms, and statistical methods
- Hands-on experience with customer-facing production ML models
- Follow MLOps best practices
Preferred Qualifications
- Experience with ML platforms, such as AWS SageMaker, Google Vertex AI, or any other ML platform.
- Experience in adopting open source ML packages into the MLOps lifecycle.
- Excellent communication and people engagement skills, and mentor colleagues on best practices and technical concepts of building large scale solutions
Required Education
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
The hiring range for this position in Los Angeles, CA, Santa Monica, CA, and Bristol, CT is $136,100.00 - $182,400.00 per year, in Seattle, WA and New York, NY is $142,600.00 - $191,100.00 per year and in San Francisco, CA $149,000.00 - $199,800.00 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.
Acerca de Disney Entertainment & ESPN Technology:
Disney Entertainment y ESPN Technology (DE&E Technology) proporcionan la columna vertebral tecnológica y el desarrollo de productos para las dos unidades de negocio de medios de Disney, a la vez que ayudan a mantener a la compañía a la vanguardia de la innovación, lo que le permite aprovechar continuamente la tecnología para mejorar la narrativa y la creatividad, a la vez que ofrece escalabilidad, flexibilidad y eficiencia para sus negocios.
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 Technology LLC , que forma parte de una empresa comercial que denominamos Disney Entertainment & ESPN Technology.
Disney Streaming Technology 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.