Lead Machine Learning Engineer
The Walt Disney Company, New York, NY, United States
Lead Machine Learning Engineer
Job ID
10143264
Location
New York, New York, United States
Business
Disney Entertainment Television
Date posted
Apr. 20, 2026
Job Summary:
The Lead Machine Learning Engineer is a senior individual contributor who provides technical leadership for complex machine learning systems and the data foundations required to operate them. This role applies machine learning techniques in code (e.g., supervised/unsupervised learning, deep learning
eural networks where appropriate, and advanced modeling approaches) to build predictive systems at scale for identity, audience, and cross-platform measurement. The position also leads architecture and standards for ML pipelines that capture, manage, store, and utilize large-scale structured and unstructured data, ensuring data integrity, interoperability, and reliability across production environments.
Responsibilities and Duties of the Role:
Lead development, training, and deployment of advanced ML models for identity resolution, look-alike modeling, and cross-platform measurement; translate algorithms into production-quality code; optimize for scale and performance.
Architect scalable ML platforms and reusable components (training/inference pipelines, feature/label foundations, model serving patterns) that operate across distributed cloud and platform environments.
Lead data and feature foundations: define data contracts, metadata/lineage expectations, and automated quality controls to maintain data integrity across structured/unstructured sources in Snowflake/Databricks.
MLOps & reliability: establish CI/CD patterns, model versioning/registry practices, automated evaluation, drift detection, monitoring dashboards/alerts, and operational playbooks for sustained production health.
Cross-functional technical leadership: drive design reviews, clarify technical requirements, and lead multi-quarter initiatives with product, analytics, and platform engineering stakeholders.
Mentorship & enablement: mentor engineers through code/design reviews; build shared libraries and best practices to improve team velocity and quality.
Privacy, governance & compliance: ensure privacy-by-design practices, PII safeguards, documentation, and audit readiness across ML workflows (GDPR/CCPA).
Required Education, Experience/Skills/Training:
Minimum Qualifications:
Must have 7+ years of professional experience delivering production ML systems (models + pipelines + monitoring) at scale.
Must have advanced coding skills in Python and SQL; strong software engineering discipline (testing, CI/CD, code review, design documentation).
Must have demonstrated experience applying ML techniques in code to develop predictive systems at scale (including deep learning where appropriate).
Must have hands‑on expertise with cloud‑native data platforms and distributed compute (Snowflake/Databricks/Spark/BigQuery) and container orchestration (Docker/Kubernetes).
Proven ability to lead technical initiatives across teams and influence architecture and standards.
Preferred Qualifications:
8+ years total experience, with hands‑on work in media, advertising technology, or cross‑platform audience measurement.
Strong understanding with 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.
Experience with modern MLOps platforms (MLflow, Kubeflow, Vertex AI, SageMaker) and model governance practices.
Required Education:
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:
Preferred Education:
Master’s degree or PhD in a relevant field (e.g., Applied Math, Computer Science, Computational Science, Operation Research, Data Science).
Hiring Range:
The hiring range for this position in New York City is $179,700.00 - $225,000.00 per year. 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.
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.
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
10143264
Location
New York, New York, United States
Business
Disney Entertainment Television
Date posted
Apr. 20, 2026
Job Summary:
The Lead Machine Learning Engineer is a senior individual contributor who provides technical leadership for complex machine learning systems and the data foundations required to operate them. This role applies machine learning techniques in code (e.g., supervised/unsupervised learning, deep learning
eural networks where appropriate, and advanced modeling approaches) to build predictive systems at scale for identity, audience, and cross-platform measurement. The position also leads architecture and standards for ML pipelines that capture, manage, store, and utilize large-scale structured and unstructured data, ensuring data integrity, interoperability, and reliability across production environments.
Responsibilities and Duties of the Role:
Lead development, training, and deployment of advanced ML models for identity resolution, look-alike modeling, and cross-platform measurement; translate algorithms into production-quality code; optimize for scale and performance.
Architect scalable ML platforms and reusable components (training/inference pipelines, feature/label foundations, model serving patterns) that operate across distributed cloud and platform environments.
Lead data and feature foundations: define data contracts, metadata/lineage expectations, and automated quality controls to maintain data integrity across structured/unstructured sources in Snowflake/Databricks.
MLOps & reliability: establish CI/CD patterns, model versioning/registry practices, automated evaluation, drift detection, monitoring dashboards/alerts, and operational playbooks for sustained production health.
Cross-functional technical leadership: drive design reviews, clarify technical requirements, and lead multi-quarter initiatives with product, analytics, and platform engineering stakeholders.
Mentorship & enablement: mentor engineers through code/design reviews; build shared libraries and best practices to improve team velocity and quality.
Privacy, governance & compliance: ensure privacy-by-design practices, PII safeguards, documentation, and audit readiness across ML workflows (GDPR/CCPA).
Required Education, Experience/Skills/Training:
Minimum Qualifications:
Must have 7+ years of professional experience delivering production ML systems (models + pipelines + monitoring) at scale.
Must have advanced coding skills in Python and SQL; strong software engineering discipline (testing, CI/CD, code review, design documentation).
Must have demonstrated experience applying ML techniques in code to develop predictive systems at scale (including deep learning where appropriate).
Must have hands‑on expertise with cloud‑native data platforms and distributed compute (Snowflake/Databricks/Spark/BigQuery) and container orchestration (Docker/Kubernetes).
Proven ability to lead technical initiatives across teams and influence architecture and standards.
Preferred Qualifications:
8+ years total experience, with hands‑on work in media, advertising technology, or cross‑platform audience measurement.
Strong understanding with 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.
Experience with modern MLOps platforms (MLflow, Kubeflow, Vertex AI, SageMaker) and model governance practices.
Required Education:
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:
Preferred Education:
Master’s degree or PhD in a relevant field (e.g., Applied Math, Computer Science, Computational Science, Operation Research, Data Science).
Hiring Range:
The hiring range for this position in New York City is $179,700.00 - $225,000.00 per year. 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.
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.
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