Senior Applied Machine Learning Engineer (Personalization)

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The Walt Disney Company
Full Time

Job Description

Senior Applied Machine Learning Engineer (Personalization)

Applied Machine Learning Engineers and Data Scientists on the Disney Streaming Machine Learning and Innovation team develop and maintain recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. They specialize in applying machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.

As a member of this team you will collaborate across Engineering, Product, and Data teams to better understand challenges and develop automated solutions to be built into our products. You will be expected to contribute to recommendation and personalization algorithm research, development, and optimization for particular product areas, and to coordinate requirements and manage stakeholder expectations with product, engineering, and editorial teams.


- Algorithm development and maintenance : Utilize cutting edge machine learning methods to develop 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

- Analysis and Algorithm Optimization : Perform deep dive analysis on app interactions and user profiles as they relate to algorithm output in order to drive improvements in key personalization metrics

- MVP development : Develop innovative machine learning products to be used for new production features or downstream by production algorithms

- 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

Basic Qualifications:
  • 5 + years of analytical experience
  • 3+ years of experience developing machine learning models and performing data analysis with Python or R
  • 2+ years writing production-level, scalable code (e.g. Python, Scala)
  • 2+ years of experience developing algorithms for deployment to production systems
  • Bachelor's degree in statistics, math, computer science (or related field) or equivalent experience
  • In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings
  • In-depth understanding of the latest in natural language processing techniques and contextualized word embedding models
  • Experience with cloud services in a production environment (particularly AWS)
  • Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
  • Understanding of statistical concepts (e.g., hypothesis testing, regression analysis)
  • 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
  • Ability to explain how models are used and algorithms behave to both technical and non-technical audiences

Preferred Qualifications:
  • MS or PhD in statistics, math, computer science, or related quantitative field
  • Production experience with developing content recommendation algorithms at scale
  • Production experience with graph based models (e.g. node2vec)
  • Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
  • Experience with graph-based data workflows such as Apache Airflow
  • Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks
  • Familiar with metadata management, data lineage, and principles of data governance
  • Experience loading and querying cloud-hosted databases such as Snowflake
  • Building streaming data pipelines using Kafka, Spark, or Flink
  • Familiarity with automated deployment, AWS infrastructure, Docker or similar containers

Additional Information:

Location: New York, NY, San Francisco, CA or Seattle, WA preferred but also open to US Remote for the right candidate

The pay range for this position in Colorado is $117,752 to $157,960 per year, however, base pay offered may vary depending on geographic region, internal equity, 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 a full range of medical, financial, and/or other benefits, dependent on the level and position offered.


Company Information

Innovation is in the DNA of The Walt Disney Company. We are constantly elevating, evolving and pioneering the future of our theme parks, streaming platforms, films and more to always be one-step ahead when creating the latest in immersive entertainment experiences. Now it’s your time to innovate in ways never been done before because at Disney, we are setting the standard for what is possible in technology. Join our team today and create the tech behind the magic.

Dice Id : waltdfa
Position Id : 7113686920220306
Originally Posted : 2 months ago

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