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The Walt Disney Company
The Walt Disney Company
Sponsor pentru viza H1BAlimente și băuturiCălătoriiOspitalitate
The Walt Disney Company este o companie globală de divertisment construită în jurul poveștilor, personajelor și experiențelor oferite vizitatorilor. Operațiunile sale includ parcuri tematice și stațiuni, rețele media, studiouri de film și media interactivă, iar produsele și experiențele sale ajung la public din întreaga lume prin diverse platforme și dispozitive. Înființată în 1923, Disney reunește o forță de muncă internațională numeroasă în domeniile divertismentului, ospitalității, călătoriilor și alimentației și băuturilor, menținând totodată un accent pe confidențialitate, transparență și conformitate în gestionarea datelor consumatorilor.
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Locurile de muncă ale companiei

Senior Machine Learning Engineer

Build and deploy scalable machine learning models, pipelines, and production systems for Disney’s Commerce technology business. Guide ML architecture, MLOps practices, and technical work across engineering initiatives.

USStatele Unite ale AmericiiCACaliforniaFLFloridaWAWashington
137.200 $ – 202.400 $ / an
HibridNormă întreagăSeniorLimbă Obligatorie: englezăInginer de învățare automată
AirflowAmazon RedshiftAWSCloudDockerDynamoDBEC2JavaKafkaKubernetesNoSQLPythonPyTorchScikit-LearnSparkSpringSpring BootTensorFlow

Descriere

  • Design and develop machine learning models, pipelines, and production systems.
  • Advance ML components through your work and collaboration with other engineers.
  • Create technical solutions that meet specifications and shape future ML initiatives.
  • Deliver ML projects and major model improvements using new or existing technologies.
  • Define specifications for assigned ML components, projects, and model enhancements.
  • Review and write code for model training, evaluation, and inference pipelines.
  • Help set the architectural direction for ML platforms and data infrastructure.
  • Design ML components for projects and document their specifications.
  • Build and lead workflows spanning data ingestion through model serving.
  • Coordinate deliverables with data science, data engineering, and product teams across the organization.
  • Develop system specifications for assigned ML projects.
  • Provide senior technical guidance to less experienced ML engineers and data scientists.
  • Lead teams in problem analysis, model debugging, and issue resolution.

Cerințe

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

Beneficii

  • A bonus and/or long-term incentive units may be included in the compensation package.
  • Medical benefits.
  • Financial benefits.
  • Other benefits.

Locuri de muncă similare

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