The Walt Disney Company

Senior Machine Learning Engineer

The Walt Disney Company

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, New York, Washington

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Salary

💰 $138,900 - $203,900 per year

Job Level

Senior

Tech Stack

AirflowAWSCloudDockerETLJenkinsKafkaPythonScalaSpark

About the role

  • 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
  • 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
  • Maintain existing and establish new algorithm development, testing, and deployment standards
  • 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

Requirements

  • 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
  • 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