The Walt Disney Company · 13 hours ago
Machine Learning Engineer II
New York, NY
Full-time
Onsite
Mid Level
$123K/yr - $165K/yr
3+ years expThe Walt Disney Company is seeking a Machine Learning Engineer II to join their Cross-Media Measurement and Advanced Analytics organization. In this role, you will design, develop, and deploy machine learning models, collaborating closely with product managers and data scientists to optimize and operationalize analytics systems.
Amusement Park and ArcadeAnimationConsumer GoodsDigital MediaE-CommerceMedia and EntertainmentMulti-level MarketingPerforming ArtsResorts
Responsibilities
Build and optimize scalable pipelines using orchestration tools (Airflow/Dagster) to ingest, transform, and deliver cross-media datasets
Create high-quality features from petabyte-scale data, manage metadata, and optimize storage/performance in Snowflake or Databricks
Design, train, and deploy ML models for audience identity, look-alike modeling, and cross-platform measurement; write clean, testable Python/SQL code and containerize workloads via Docker/Kubernetes
Implement CI/CD, model versioning, automated testing, and drift detection; build dashboards and alerts to ensure reliability and data quality in production
Gather requirements, run experiments, and translate findings into actionable product enhancements for analytics, product, and editorial teams
Apply GDPR/CCPA principles, enforce PII safeguards, and maintain documentation for audit readiness
Research emerging ML techniques, share best practices, and mentor junior engineers through code reviews and knowledge-sharing sessions
Qualification
Required
3+ years of professional experience in machine learning engineering, delivering production-grade models or pipelines at scale
Advanced coding skills in Python and SQL; familiarity with a strongly typed language and software engineering best practices (version control, CI/CD, unit testing)
Hands-on experience with cloud-native data platforms and distributed frameworks (BigQuery, Snowflake, Databricks) and orchestration tools (Airflow, Dagster)
Proven ability to build end-to-end ML workflows: feature engineering, model training, containerization, monitoring, and performance tuning
Working knowledge of data privacy standards (GDPR, CCPA) and experience applying them to identity or audience datasets
Strong collaboration skills with cross-functional teams and ability to translate technical findings into business insights
Bachelor's degree in Computer Science, Data Science, Mathematics, or related technical field
Preferred
3+ years of experience, ideally in media, ad tech, or cross-platform audience measurement
Experience with deep learning, generative AI, or retrieval-augmented systems (PyTorch, vector databases) and real-time pipelines (Kafka, Pub/Sub, Kinesis)
Familiarity with modern MLOps stacks (MLflow, Kubeflow, Vertex AI, SageMaker) and model governance practices
Relevant certifications (Google ML Engineer, AWS ML Specialty, or equivalent)
Contributions to open-source projects, conference presentations, or peer-reviewed publications
Master's or PhD in Applied Math, Computer Science, Computational Science, Operations Research, or Data Science
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits
Company
The Walt Disney Company
The Walt Disney Company started as a cartoon studio and evolves into sports coverage and television shows.
10001+ employees
H1B Sponsorship
The Walt Disney Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (83)
2024 (63)
2023 (96)
2022 (130)
2021 (30)
2020 (40)
Funding
Current Stage
Public CompanyTotal Funding
$11BKey Investors
Citibank
2020-04-13Post Ipo Debt· $5B
2020-03-20Post Ipo Debt· $6B
1978-01-06IPO
Leadership Team
Robert Iger
CEO
Christine M. McCarthy
Senior Executive Vice President & Chief Financial Officer
Recent News
2026-01-20
Company data provided by crunchbase