The Walt Disney Company
The Walt Disney Company
The Walt Disney Company — оқиғалар, кейіпкерлер және қонақтарға ұсынылатын әсерлер негізінде құрылған жаһандық ойын-сауық компаниясы. Оның қызметі тақырыптық саябақтар мен демалыс орындарын, медиа желілерді, киностудияларды және интерактивті медианы қамтиды. Компанияның өнімдері мен әсерлері әлем бойынша әртүрлі платформалар мен құрылғылар арқылы аудиторияға жетеді. 1923 жылы құрылған Disney ойын-сауық, қонақжайлық, саяхат, тамақ және сусын салаларындағы ірі халықаралық жұмыс күшін біріктіре отырып, тұтынушылардың деректерін өңдеуде құпиялылыққа, ашықтыққа және талаптарға сәйкестікке баса назар аударады.

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.

Сипаттама

  • 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.

Талаптар

  • 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.

Артықшылықтар

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

Ұқсас жұмыс орындары

Knowtion Health
Napco National

Purchasing Coordinator, Saudi Arabia (Remote)

Napco National

Coordinate purchasing operations for a manufacturing business in Saudi Arabia, from purchase orders and supplier deliveries to customs paperwork and material transfers. Support shipment clearance, invoice processing, supplier claims, and product certificate renewals.

Ашу
Artemys

IT Talent Acquisition Specialist

Artemys

Recruit IT infrastructure professionals for Artemys, a digital transformation company. Lead sourcing and hiring while contributing to employer branding initiatives.

Ашу
4M Analytics

Senior Computer Vision Algorithm Engineer

4M Analytics

Develop computer vision and machine learning systems for 4M Analytics’ subsurface utility mapping platform. Own algorithms from research through production in partnership with data engineering and product teams.

Ашу
Joom

Enterprise Customer Success Manager, Brazil (Remote)

Joom

Lead renewals, retention, and account growth for JoomPulse enterprise customers. Turn Mercado Livre and Shopee analytics into practical recommendations for marketplace sellers.

Ашу
Cyera

Regional Sales Director, Identity Security

Cyera

Lead Cyera’s Pacific Northwest sales team, grow the territory, and exceed quotas for its AI and data security platform.

Ашу
Terumo Medical Corporation

Region Manager, Terumo Interventional Systems Sales

Terumo Medical Corporation

Lead medical device sales across a North Central New Jersey region, managing field teams and hospital relationships. Drive regional revenue, sales performance, and compliant promotion of Terumo Interventional Systems products.

Ашу
Dream

Senior Program Manager, Sovereign AI (Hybrid, Israel)

Dream

Lead Dream’s Sovereign AI roadmap for government and critical infrastructure customers, coordinating research, engineering, product, launches, and AI-enabled operations.

Ашу
Claroty

QA Automation Engineer

Claroty

Develop API and UI automation and CI/CD quality gates for Claroty’s cyber-physical security platform. Help protect critical infrastructure through reliable testing.

Ашу