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The Walt Disney Company
The Walt Disney Company
H1B Visa SponsorFood & BeverageHospitalityTravel
The Walt Disney Company is a global entertainment business built around storytelling, characters, and guest experiences. Its operations span theme parks and resorts, media networks, film studios, and interactive media, with products and experiences reaching audiences across platforms and devices worldwide. Founded in 1923, Disney brings together a large international workforce across entertainment, hospitality, travel, and food and beverage, while maintaining a focus on privacy, transparency, and compliance in its handling of consumer data.
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Senior Machine Learning Engineer, Disney Commerce

Lead the design, training, deployment, and operation of scalable machine learning models and pipelines for Disney Commerce. Drive technical delivery, MLOps practices, and end-to-end model-serving workflows.

USUnited StatesCACaliforniaFLFloridaWAWashington
$137,200 – $202,400 / year
HybridFull-timeSeniorEnglish RequiredMachine Learning Engineer
AirflowAmazon RedshiftAWSCloudDockerDynamoDBEC2JavaKafkaKubernetesNoSQLPythonPyTorchScikit-LearnSparkSpringSpring BootTensorflow

Description

  • Design, develop, train, and deploy moderately to highly complex machine learning models, pipelines, and systems
  • Own the development of production machine learning models, pipelines, and systems
  • Advance ML component development through individual contributions and collaboration with other engineers
  • Create technical solutions that satisfy specifications and guide future machine learning initiatives
  • Deliver assigned ML projects and significant model enhancements using existing or emerging technologies
  • Define specifications for assigned ML components, projects, and model improvements
  • Write and review code for model training, evaluation, and inference pipelines
  • Help shape the architecture of machine learning platforms and data infrastructure
  • Develop and lead complete ML workflows spanning data ingestion through model serving
  • Coordinate deliverables with data science, data engineering, and product teams across the organization
  • Act as a senior technical resource and advisor to less experienced ML engineers and data scientists
  • Guide team members through problem analysis, model debugging, and issue resolution

Requirements

  • At least five years of relevant experience designing, training, and deploying production machine learning models at scale
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Strong command of machine learning fundamentals, including supervised and unsupervised learning, model evaluation, and feature engineering
  • Extensive experience with MLOps practices such as model versioning, experiment tracking, ML CI/CD, and model monitoring
  • Experience with cloud machine learning services and infrastructure, including AWS SageMaker, EC2, and S3
  • Experience using data pipeline and orchestration technologies such as Airflow, Spark, and Kafka
  • Familiarity with DynamoDB, Redshift, NoSQL, and related data storage technologies
  • Familiarity with Docker and Kubernetes containerization
  • Familiarity with data manipulation tools
  • Snowflake experience is required
  • Experience with large-scale recommendation systems, personalization, natural language processing, or computer vision
  • Experience designing real-time machine learning inference and low-latency serving architectures
  • Familiarity with deploying large language models and generative AI in production systems
  • Java experience, including Spring Boot, is a plus
  • Bachelor’s degree in computer science, statistics, mathematics, or a related field, or equivalent relevant work experience

Benefits

  • The compensation package may include a bonus and/or long-term incentive units
  • Medical, financial, and/or other benefits

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