Disney Entertainment and ESPN Product & Technology
Technology is at the heart of Disneys past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more all working to build and advance the technological backbone for Disneys media business globally.
The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses.We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Companys media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.
Here are a few reasons why we think youd love working here:
1. Building the future of Disneys media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
2. Reach, Scale & Impact: More than ever, Disneys technology and products serve as a signature doorway for fans' connections with the companys brands and stories. Disney+. Hulu. ESPN. ABC. ABC Newsand many more. These products and brands and the unmatched stories, storytellers, and events they carry matter to millions of people globally.
3. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems.
Job Summary:
Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.
This is an Individual Contributor role in content recommendations. You will be expected to lead recommendation and personalization algorithm research, development, and optimization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. You will be expected to help meet KPIs for product areas and to set and meet deadlines for external and internally facing tools, such as offline evaluation tools for pre-production algorithms. As a Sr Machine Learning Engineer, you will also be responsible for helping to set the roadmap for algorithmic work not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and content recommendation.
Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop and implement algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams
Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets
Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards
Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis
Experience loading and querying cloud-hosted databases
Building streaming data pipelines using Kafka, Spark, or Flink
5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience
Bachelors degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
5+ years writing production-level, scalable code (e.g. Python, Scala)
3+ years of experience developing algorithms for deployment to production systems
In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings
Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark
Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate
Strong written and verbal communication skills
Preferred Qualifications:
MS or PhD in statistics, math, computer science, or related quantitative field
Production experience with developing content recommendation algorithms at scale
Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
Familiar with metadata management, data lineage, and principles of data governance
#DISNEYTECH
The hiring range for this position in New York, NY & Seattle, WA is $145,400 - $195,000 per year, in Los Angeles, CA is $138,900 - $186,200 per year and in San Francisco, CA is $152,100 - $203,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidates 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.At Disney Entertainment and ESPN Product & Technology, were blending imagination and innovation to reimagine the ways people experience and engage with the worlds most beloved stories and products. Our work is wide-ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love.
Disneys ability to marry world-class technology with one-of-a-kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers.
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disneys stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Streaming Technology LLC , which is part of a business we call Disney Entertainment and ESPN Product & Technology .
Disney Streaming Technology LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
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