Machine Learning Engineer II

Jobtailor; California (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

Warner Bros. Discovery seeks an experienced ML Engineer to design and operate production-grade recommender systems powering HBO Max, Discovery+, and other services. You will collaborate with data scientists and engineers to improve search quality, scalability, and personalization at scale.

The role emphasizes building reliable ML systems, observing performance, and driving data-driven optimization across platforms, with opportunities to influence product strategy and market expansion.

Qualifications

• 2+ years of industry experience.
• Deep practical knowledge of the modern machine learning lifecycle.
• Experience building large-scale ML systems in production.
• Solid understanding of data fundamentals, including SQL, pipelines, and feature stores.
• Excellent communication and cross-functional collaboration abilities.
• Advanced degree (M.S.), or equivalent industry experience, in statistics, computer science, machine learning, or related fields.

Responsibilities

• Build and scale recommendation systems powering personalization across HBO Max, Discovery+, and other WBD offerings.
• Build machine learning systems and operations for personalization.
• Collaborate with applied science engineers to improve search and personalization platform quality, stability, and resilience.
• Drive observability, scalability, cost optimization, performance tuning, and other improvements to recommendation services and models.
• Collaborate with platform, content, user data, and product partners as HBO Max expands into new markets.
• Author, test, review, and optimize production-level code.
• Execute version control and code integration best practices.
• Foster experimentation and data-driven innovation focused on customers.
• Contribute technical documentation for knowledge transfer and sharing.
• Troubleshoot recommendation-system issues as front-line support.

Skills

Python programming

Cross-functional collaboration

Excellent communication

A/B testing

Education

Master's degree in Statistics

Master's degree in Computer Science

Master's degree in Machine Learning

Tools

SQL

Data Pipelines

Feature Stores

Version Control

Production ML

Job description

• Build and scale recommendation systems powering personalization across HBO Max, Discovery+, and other WBD offerings
• Build machine learning systems and operations for personalization
• Collaborate with applied science engineers to improve search and personalization platform quality, stability, and resilience
• Drive observability, scalability, cost optimization, performance tuning, and other improvements to recommendation services and models
• Collaborate with platform, content, user data, and product partners as HBO Max expands into new markets
• Author, test, review, and optimize production-level code
• Execute version control and code integration best practices
• Foster experimentation and data-driven innovation focused on customers
• Contribute technical documentation for knowledge transfer and sharing
• Troubleshoot recommendation-system issues as front-line support

Requirements

• 2+ years of industry experience
• Deep practical knowledge of the modern machine learning lifecycle
• Practical knowledge of large-scale recommender systems, or large-scale ML ranking/retrieval/search systems
• Familiarity with A/B tests
• Experience building large-scale ML systems in production
• Strong programming skills in Python
• Java/Go a plus
• Solid understanding of data fundamentals, including SQL, pipelines, and feature stores
• Excellent communication skills and ability to work cross-functionally
• Advanced degree (M.S.), or equivalent industry experience, in statistics, computer science, machine learning, or related fields

Core Competencies

Demonstrates expertise in building and scaling recommendation systems and machine learning operations, with a strong focus on data-driven innovation and collaboration across teams. Proficient in Python programming and familiar with large-scale ML systems, A/B testing, and data fundamentals.

Highest-signal resume keywords

• Machine Learning Lifecycle
• Large-Scale Recommender Systems
• Python Programming
• Data Fundamentals
• A/B Testing

Hard Skills

• Machine Learning
• Recommendation Systems
• Production-Level Code Optimization
• SQL
• Feature Stores

Soft Skills

• Excellent Communication
• Cross-Functional Collaboration

Certifications & Qualifications

• Advanced Degree in Statistics
• Advanced Degree in Computer Science
• Advanced Degree in Machine Learning

Industry Keywords

• Personalization
• Observability
• Scalability
• Cost Optimization
• Performance Tuning

Tools & Technologies

• Version Control
• Data Pipelines