Sr. Manager, Machine Learning Engineering
The Walt Disney Company, New York, NY, United States
Sr. Manager, Machine Learning Engineering
Job ID: 10144136
Location: New York, New York, United States
Business: Disney Entertainment Television
Date posted: Apr. 20, 2026
This is not a remote role. You must be in the area or open to relocating.
Job Summary
The Senior Manager, Machine Learning Engineering will lead a team responsible for building and operating production ML systems that deliver predictive outcomes at scale for cross‑media measurement, identity resolution, and audience development. The role requires deep hands‑on understanding of applied machine learning and ML engineering and is accountable for ensuring that machine learning techniques are applied in code and operationalized reliably through robust MLOps practices. The position also includes ownership of key data and pipeline foundations required to capture, manage, store, and utilize large‑scale structured and unstructured data from internal and external sources to support model training and inference, while enforcing privacy, governance, and audit readiness.
Responsibilities and Duties
Lead delivery of machine learning systems for identity, audience modeling, and cross‑platform measurement; ensure ML techniques are applied in code and deployed as scalable, production‑grade services and/or pipelines.
Oversee ML data and feature foundations: design and maintain pipelines that capture, transform, and deliver structured and unstructured cross‑media datasets from internal/external sources; ensure interoperability and data integrity across platforms (Airflow/Dagster; Snowflake/Databricks).
MLOps & monitoring ownership: implement and standardize CI/CD, model versioning/registry practices, automated evaluation/testing, drift detection, dashboards/alerts, and operational runbooks to ensure reliability and reproducibility.
Lead a team of ML engineers: hiring, onboarding, coaching, performance management, code/design reviews, and career development; set technical direction and quality standards.
Lead cross‑organization decision‑making: align stakeholders, define success metrics, and drive complex trade‑offs to deliver durable, scalable ML solutions.
Stakeholder collaboration & roadmap execution: partner with product, analytics, engineering, and governance stakeholders to translate business needs into technical requirements, success metrics, and delivery plans.
Champion data privacy, governance, and compliance: enforce GDPR/CCPA principles, PII safeguards, documentation, and audit readiness across ML workflows.
Required Education, Experience/Skills/Training
Minimum Qualifications
Must have flagship production ownership experience with machine learning, deep learning, generative AI, or retrieval‑augmented systems (PyTorch, vector databases) and real‑time data pipelines (Kafka, Pub/Sub, Kinesis).
Must have 10+ years of experience in machine learning engineering and/or applied ML roles delivering production ML systems (models + pipelines + monitoring).
Must have 4+ years in a technical leadership capacity, including people leadership and/or strong delivery ownership in an ML environment.
Must have knowledge of data privacy regulations (GDPR, CCPA) and implementing privacy‑aware data and modeling practices.
Proven experience applying machine learning techniques in code to develop predictive systems at scale (including deep learning where appropriate).
Strong proficiency in Python and SQL; software engineering best practices (version control, CI/CD, automated testing).
Hands‑on experience with cloud‑native data platforms and distributed processing (Snowflake/Databricks/BigQuery/Spark) and orchestration (Airflow/Dagster).
Preferred Qualifications
12+ years total experience, with hands‑on work in media, advertising technology, or cross‑platform audience measurement.
Strong understanding of modern MLOps stacks (e.g., MLflow, Kubeflow, Vertex AI, SageMaker) and model‑governance practices (metadata, lineage, drift detection).
Certifications such as Google Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty, or equivalent cloud/data credentials.
Contributions to open‑source ML or data‑engineering projects, conference presentations, or peer‑reviewed publications.
Experience in media/ad tech, identity graphs, audience measurement, or interoperability layers.
Required Education
Bachelor's degree in a relevant technical or science field (e.g., computer science, data science, mathematics, or a related discipline).
Preferred Education
Master’s degree or PhD in a relevant field (e.g., Applied Math, Computer Science, Computational Science, Operations Research, Data Science).
Hiring Range
The hiring range for this position in New York City is $217,300.00‑$270,000.00 per year. The base pay actually offered will take into account internal equity and may vary based on the candidate’s geographic region, job‑related knowledge, skills, and experience. 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 other benefits, depending on the level and position offered.
Equal Employment Opportunity Statement
American Broadcasting Companies, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.
Disability Accommodation For Employment Applications
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, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. 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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Job ID: 10144136
Location: New York, New York, United States
Business: Disney Entertainment Television
Date posted: Apr. 20, 2026
This is not a remote role. You must be in the area or open to relocating.
Job Summary
The Senior Manager, Machine Learning Engineering will lead a team responsible for building and operating production ML systems that deliver predictive outcomes at scale for cross‑media measurement, identity resolution, and audience development. The role requires deep hands‑on understanding of applied machine learning and ML engineering and is accountable for ensuring that machine learning techniques are applied in code and operationalized reliably through robust MLOps practices. The position also includes ownership of key data and pipeline foundations required to capture, manage, store, and utilize large‑scale structured and unstructured data from internal and external sources to support model training and inference, while enforcing privacy, governance, and audit readiness.
Responsibilities and Duties
Lead delivery of machine learning systems for identity, audience modeling, and cross‑platform measurement; ensure ML techniques are applied in code and deployed as scalable, production‑grade services and/or pipelines.
Oversee ML data and feature foundations: design and maintain pipelines that capture, transform, and deliver structured and unstructured cross‑media datasets from internal/external sources; ensure interoperability and data integrity across platforms (Airflow/Dagster; Snowflake/Databricks).
MLOps & monitoring ownership: implement and standardize CI/CD, model versioning/registry practices, automated evaluation/testing, drift detection, dashboards/alerts, and operational runbooks to ensure reliability and reproducibility.
Lead a team of ML engineers: hiring, onboarding, coaching, performance management, code/design reviews, and career development; set technical direction and quality standards.
Lead cross‑organization decision‑making: align stakeholders, define success metrics, and drive complex trade‑offs to deliver durable, scalable ML solutions.
Stakeholder collaboration & roadmap execution: partner with product, analytics, engineering, and governance stakeholders to translate business needs into technical requirements, success metrics, and delivery plans.
Champion data privacy, governance, and compliance: enforce GDPR/CCPA principles, PII safeguards, documentation, and audit readiness across ML workflows.
Required Education, Experience/Skills/Training
Minimum Qualifications
Must have flagship production ownership experience with machine learning, deep learning, generative AI, or retrieval‑augmented systems (PyTorch, vector databases) and real‑time data pipelines (Kafka, Pub/Sub, Kinesis).
Must have 10+ years of experience in machine learning engineering and/or applied ML roles delivering production ML systems (models + pipelines + monitoring).
Must have 4+ years in a technical leadership capacity, including people leadership and/or strong delivery ownership in an ML environment.
Must have knowledge of data privacy regulations (GDPR, CCPA) and implementing privacy‑aware data and modeling practices.
Proven experience applying machine learning techniques in code to develop predictive systems at scale (including deep learning where appropriate).
Strong proficiency in Python and SQL; software engineering best practices (version control, CI/CD, automated testing).
Hands‑on experience with cloud‑native data platforms and distributed processing (Snowflake/Databricks/BigQuery/Spark) and orchestration (Airflow/Dagster).
Preferred Qualifications
12+ years total experience, with hands‑on work in media, advertising technology, or cross‑platform audience measurement.
Strong understanding of modern MLOps stacks (e.g., MLflow, Kubeflow, Vertex AI, SageMaker) and model‑governance practices (metadata, lineage, drift detection).
Certifications such as Google Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty, or equivalent cloud/data credentials.
Contributions to open‑source ML or data‑engineering projects, conference presentations, or peer‑reviewed publications.
Experience in media/ad tech, identity graphs, audience measurement, or interoperability layers.
Required Education
Bachelor's degree in a relevant technical or science field (e.g., computer science, data science, mathematics, or a related discipline).
Preferred Education
Master’s degree or PhD in a relevant field (e.g., Applied Math, Computer Science, Computational Science, Operations Research, Data Science).
Hiring Range
The hiring range for this position in New York City is $217,300.00‑$270,000.00 per year. The base pay actually offered will take into account internal equity and may vary based on the candidate’s geographic region, job‑related knowledge, skills, and experience. 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 other benefits, depending on the level and position offered.
Equal Employment Opportunity Statement
American Broadcasting Companies, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.
Disability Accommodation For Employment Applications
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, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
#J-18808-Ljbffr