Machine Learning Engineer II
工作概要:
About the Role & Team
Disney Entertainment’s (DE) Cross-Media Measurement and Advanced Analytics organization drives data strategy, cross-platform content measurement, marketing effectiveness, and inventory forecasting. The team delivers advanced analytics and actionable insights to support content, monetization, and audience development.
The Data and Analytics Operations team, part of this organization, applies advanced machine learning techniques to deliver a suite of analytics solutions—descriptive, predictive, and prescriptive—built on strong data management and interoperability practices. These capabilities enable business goals across content production, marketing, and monetization.
What You Will Do
Reporting to the Executive Director of Data and Analytics Operations, the Machine Learning Engineer II is an individual contributor responsible for designing, developing, and deploying machine learning models. This hands-on role focuses on building scalable ML pipelines, writing production code, and operationalizing models that leverage cross-platform audience data. You will collaborate closely with product managers, data scientists, and platform engineers to construct, optimize, and deploy analytics systems.
Responsibilities
- Data Pipeline Development: Build and optimize scalable pipelines using orchestration tools (Airflow/Dagster) to ingest, transform, and deliver cross-media datasets.
- Feature Engineering & Data Prep: Create high-quality features from petabyte-scale data, manage metadata, and optimize storage/performance in Snowflake or Databricks.
- Model Development: 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.
- MLOps & Monitoring: Implement CI/CD, model versioning, automated testing, and drift detection; build dashboards and alerts to ensure reliability and data quality in production.
- Collaboration & Experimentation: Gather requirements, run experiments, and translate findings into actionable product enhancements for analytics, product, and editorial teams.
- Compliance: Apply GDPR/CCPA principles, enforce PII safeguards, and maintain documentation for audit readiness.
- Continuous Learning: Research emerging ML techniques, share best practices, and mentor junior engineers through code reviews and knowledge-sharing sessions.
Required Qualifications & Skills
- 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.
Preferred Qualifications
- 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.
Required Education
- Bachelor’s degree in Computer Science, Data Science, Mathematics, or related technical field.
Preferred Education
- Master’s or PhD in Applied Math, Computer Science, Computational Science, Operations Research, or Data Science.
The hiring range for this position in New York, NY is $123,000.00 - $165,000.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
關於Disney Entertainment Television:
Disney Entertainment Television 匯聚 The Walt Disney Company 旗下的知名內容品牌,為公司的串流平台 Disney+、Hulu 和 Star 以及其廣播和有線網絡建立原創娛樂及新聞節目。廣泛的內容組合包括 ABC Entertainment、ABC News、ABC Owned Television Stations、Disney Branded Television、Freeform、FX、Hulu Originals、National Geographic Content 和 Onyx Collective,以及 Disney Television Studios,當中包括 20th Television、20th Television Animation、ABC Signature 和 Walt Disney Television Alternative。Disney Entertainment Television 的創意品牌每年製作超過 4,500 小時的 300 多個各類節目,在開創性故事敍述方面佔據領先地位,吸引觀眾並贏得好評。在 2023 年,Disney Entertainment Television 的卓越節目在日間時段、黃金時段、新聞與紀錄片及親子類別贏得 163 項 Emmy® 提名。
關於 The Walt Disney Company:
Walt Disney Company 連同其子公司和聯營公司,是領先的多元化國際家庭娛樂和媒體企業,其業務主要涉及三個範疇:Disney Entertainment、ESPN 及 Disney Experiences。Disney 在 1920 年代的起步之初,只是一間卡通工作室,至今已成為娛樂界的翹楚,並昂然堅守傳承,繼續為家庭中每位成員創造世界一流的故事與體驗。Disney 的故事、人物與體驗傳遍世界每個角落,深入人心。我們在 40 多個國家/地區營運業務,僱員及演藝人員攜手協力,創造全球和當地人們都珍愛的娛樂體驗。
這個職位隸屬於 American Broadcasting Companies, Inc.,其所屬的業務部門是 Disney Entertainment Television。
American Broadcasting Companies, Inc. 是提供平等就業機會的僱主。求職者都會獲得聘僱考量的機會,不分種族、宗教、膚色、生理性別、性傾向、社會性別、性別認同、性別表達、原國籍、血統、年齡、婚姻狀態、軍人或退伍軍人身份、醫療狀況、遺傳資訊或殘疾狀況、或者聯邦、州級或地方法律所禁止的其他任何基本特徵。Disney 提倡讓所有人的想法和決策都有助我們發展、創新、創造最好故事的商業環境,並與瞬息萬變的世界息息相關。
就業申請的殘疾便利安排
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
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