The Walt Disney Company
Senior Machine Learning Engineer - Disney+
The Walt Disney Company, New York, New York, us, 10261
Senior Machine Learning Engineer - Disney+
Join to apply for the
Senior Machine Learning Engineer - Disney+
role at
The Walt Disney Company Senior Machine Learning Engineer - Disney+
Join to apply for the
Senior Machine Learning Engineer - Disney+
role at
The Walt Disney Company 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:
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. 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. 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 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.
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Information Technology Industries
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Join to apply for the
Senior Machine Learning Engineer - Disney+
role at
The Walt Disney Company Senior Machine Learning Engineer - Disney+
Join to apply for the
Senior Machine Learning Engineer - Disney+
role at
The Walt Disney Company 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:
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. 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. 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 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.
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Information Technology Industries
Entertainment Providers Referrals increase your chances of interviewing at The Walt Disney Company by 2x Get notified about new Machine Learning Engineer jobs in
New York, NY . Brooklyn, NY $119,000.00-$155,000.00 2 weeks ago Brooklyn, NY $119,000.00-$155,000.00 1 week ago New York, NY $124,500.00-$186,500.00 3 days ago New York, NY $120,000.00-$180,000.00 1 month ago New York, NY $93,144.00-$133,063.00 1 week ago New York, NY $125,000.00-$200,000.00 8 hours ago New York, NY $100,000.00-$250,000.00 2 months ago New York, NY $140,000.00-$170,000.00 2 weeks ago Machine Learning Engineer, Personalization
New York, NY $138,250.00-$197,500.00 1 week ago Software Engineer, Infrastructure, Early Career
New York, NY $126,000.00-$170,000.00 4 days ago Machine Learning Engineer, Personalization
New York, NY $136,878.00-$195,540.00 2 weeks ago Data Scientist, Campus, United States - BCG X
Brooklyn, NY $110,000.00-$160,000.00 2 weeks ago Hoboken, NJ $132,000.00-$264,000.00 3 weeks ago New York, NY $130,000.00-$180,000.00 2 weeks ago New York, NY $181,875.00-$200,645.00 2 weeks ago New York, NY $150,000.00-$220,000.00 1 month ago Machine Learning Engineer I - Windreich Department of Artificial Intelligence & Human Health
New York, NY $109,000.00-$163,695.00 1 week ago New York, NY $110,000.00-$250,000.00 4 months ago New York, NY $40,000.00-$200,000.00 5 days ago New York County, NY $40,000.00-$200,000.00 2 weeks ago New York, NY $110,018.00-$157,169.00 2 days ago New York, NY $70,000.00-$100,000.00 1 month ago New York, NY $162,000.00-$210,000.00 1 week ago New York, NY $150,000.00-$200,000.00 3 months ago New York, NY $116,800.00-$175,200.00 2 weeks ago New York, NY $150,000.00-$210,000.00 1 month ago New York, NY $175,000.00-$250,000.00 1 month ago New York, NY $120,000.00-$250,000.00 1 month ago Machine Learning Engineer, GenRecs, Personalization
New York, NY $138,250.00-$197,500.00 2 weeks ago New York, NY $154,000.00-$213,000.00 1 week ago New York, NY $180,000.00-$280,000.00 1 week ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr