Senior Machine Learning Engineer

Senior Machine Learning Engineer (Individual Contributor) on-site in New York, NY for Disney Entertainment and ESPN Product & Technology, focused on personalization and recommendation algorithms for Disney+ and Hulu.

Responsibilities

• Develop and maintain state-of-the-art personalization and recommendation models, serving production systems and explaining methodologies to both technical and non-technical stakeholders.
• Design and sustain ETL pipelines and data workflows with Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte-scale datasets.
• Establish and enforce best practices for algorithm development, testing, and deployment, while evolving standards over time.
• Collaborate with product and business stakeholders to uncover new personalization opportunities and coordinate with data teams to improve data collection, experimentation, and analysis.

Requirements

• 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering.
• 5+ years writing production-grade, scalable code in Python and SQL.
• 3+ years developing algorithms for deployment to production systems.
• Strong understanding of modern machine learning concepts, models, and their mathematical underpinnings.
• Experience deploying and maintaining pipelines and building big-data solutions with Databricks, S3, and Spark.
• Ability to gauge the complexity of ML problems and apply simple, effective approaches when appropriate.
• Excellent written and verbal communication skills.
• MS or PhD in statistics, mathematics, computer science, or related quantitative field.
• Production experience developing content recommendation algorithms at scale.
• Experience delivering end-to-end ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment.
• Familiarity with metadata management, data lineage, and data governance principles.
• Experience loading and querying cloud-hosted databases.

Technologies

• Python
• SQL
• Airflow
• Jenkins
• Databricks
• S3
• Spark

Compensation

Salary: USD 148,700 - 199,400 per year

Benefits

• Medical benefits
• Financial benefits
• Bonus and/or long-term incentive units

Role Location

• On-site role requiring 4 days in-person at designated office location.