Lead Machine Learning Engineer

The Walt Disney Company • Glendale, CA

4d • $141,900 - $199,400 • Onsite

About The Position

Our team designs and builds models that directly shape the user experience – powering personalization and engagement across our Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work — not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations.

Requirements

• 7+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience
• 5+ years writing production-level, scalable code (Python, SQL)
• 3+ years of experience developing algorithms for deployment to production systems
• Led complex projects and mentored team members
• In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings
• Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark
• Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate
• Strong written and verbal communication skills
• Bachelor’s Degree in Computer Science, Math, Statistics, or related quantitative field

Nice To Haves

• MS or PhD in statistics, math, computer science, or related quantitative field
• Production experience with developing content recommendation algorithms at scale
• Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
• Familiar with metadata management, data lineage, and principles of data governance
• Experience loading and querying cloud-hosted databases
• Experience with: AWS, Databricks

Responsibilities

• Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams
• Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets
• Maintain existing and establish new algorithm development, testing, and deployment standards
• Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior