Senior Machine Learning Engineer - Disney+

Disneyland Hong Kong; Seattle, Santa Monica, San Francisco, New York (WA, CA, CA, NY); On-site; USD 145,000 - 195,000; Full time

Job summary

Disney Entertainment is seeking a Senior Machine Learning Engineer to lead personalization and recommendation algorithm development. The ideal candidate will have over 5 years of experience in machine learning and data engineering, driving innovative solutions in product areas. This role involves collaboration with cross-functional teams and managing stakeholder expectations to enhance user experiences across Disney's platforms.

Benefits

Medical, financial, and other benefits

Bonus and/or long-term incentives

Qualifications

• 5+ years of experience developing machine learning models.
• In-depth understanding of modern machine learning methods.
• Experience with production-level code (e.g., Python, Scala).

Responsibilities

• Develop and implement algorithms for personalization and recommendation.
• Maintain algorithms deployed to production.
• Collaborate with stakeholders to define personalization opportunities.

Skills

Machine Learning

Data Engineering

Algorithm Development

ETL Pipelines

Cloud Technologies

Communication

Education

Bachelor’s degree in Computer Science

Tools

AWS

Docker

Airflow

Spark

Job description

Senior Machine Learning Engineer - Disney+

Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s 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 Disney’s 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 Company’s 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 you’d love working here:

1. Building the future of Disney’s 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, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and 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.

Responsibilities:

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

Basic Qualifications:

5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience

Bachelor’s 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

工作概要:

Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s 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 Disney’s 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 Company’s 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 you’d love working here:

1. Building the future of Disney’s 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, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and 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.

Responsibilities:

• 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

Basic Qualifications:

• 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience

• Bachelor’s 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 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.

其他資訊:

DISNEYTECH

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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, visit the Disney candidate disability accommodations FAQs . We will only respond to those requests that are related to the accessibility of the online application system due to a disability.