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The Walt Disney Company
The Walt Disney Company
H1B vīzas sponsorsCeļojumiPārtika un dzērieniViesmīlība
The Walt Disney Company ir pasaules mēroga izklaides uzņēmums, kura darbība balstās uz stāstniecību, tēliem un viesu pieredzi. Uzņēmuma darbība aptver atrakciju parkus un kūrortus, mediju tīklus, filmu studijas un interaktīvos medijus, savukārt tā produkti un pieredze sasniedz auditoriju visā pasaulē, izmantojot dažādas platformas un ierīces. Disney, kas dibināts 1923. gadā, apvieno lielu starptautisku darbaspēku izklaides, viesmīlības, ceļošanas, kā arī pārtikas un dzērienu pakalpojumu jomā, vienlaikus pievēršot uzmanību privātumam, pārredzamībai un atbilstībai, apstrādājot patērētāju datus.
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Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisCAKalifornijaFLFloridaWAVašingtona
137 200 $ – 202 400 $ / gads
HibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuMašīnmācīšanās inženieris
AirflowAmazon RedshiftAWSDockerDynamoDBEC2JavaKafkaKubernetesMākonisNoSQLPythonPyTorchScikit-LearnSparkSpringSpring BootTensorFlow

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

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

Saistītās vakances

Maxon

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Maxon
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Plašsaziņas līdzekļiVideospēles
CAKanādaKlātienēPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuProgrammatūras inženieris
AzureDockerJavaScriptLinuxMākonisPythonTerraformVault

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Fanatics

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USAmerikas Savienotās ValstisNYŅujorka
144 000 $ – 235 000 $ / gads
AttālinātiPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuAndroid inženierisProgrammatūras inženieris
AndroidJavaKotlinSwift

Lead Android development for Fanatics’ global sports platform, shaping scalable Kotlin and Jetpack Compose architecture. Guide technical standards, incident response, and engineer mentorship.

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Terumo Medical Corporation

Territory Manager, Interventional Systems — Philadelphia

Terumo Medical Corporation
1001 – 5000 Darbinieki
H1B vīzas sponsorsKonsultācijasRažošanaVeselības aprūpe
USAmerikas Savienotās ValstisPAPensilvānija
50 000 $ – 65 000 $ / gads
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Lead sales of Terumo Interventional Systems devices to hospitals and outpatient facilities in the Philadelphia area. Build accounts, support procedures, educate clinicians, and meet territory sales goals.

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