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Staff Machine Learning Engineer - Job Opportunity at Warner Bros. Discovery

Seattle, United States
Full-time
Senior
Posted: March 10, 2025
On-site
USD 145,600 - 270,400 per year

Benefits

Comprehensive Health Insurance with Wellness Program Integration
Industry-Leading Life and Disability Coverage
Competitive Retirement Savings Plan with Company Match
Flexible PTO and Paid Holidays
Annual Performance Bonuses
Short and Long-term Incentives

Key Responsibilities

Lead architectural design and implementation of large-scale recommendation systems serving millions of users across streaming platforms
Drive technical strategy and innovation in search and personalization technologies
Mentor and develop engineering talent while fostering a culture of experimentation
Establish best practices for ML infrastructure and deployment at scale
Collaborate with cross-functional teams to align ML initiatives with business objectives

Requirements

Education

Advanced degree (M.S., or Ph.D.) in software engineering, computer science, machine learning or related fields

Experience

8+ years of industry experience, with 4+ years as tech lead experience (preferred)

Required Skills

Deep practical knowledge of Search systems and information retrieval Large-scale distributed application architecture expertise Modern machine learning lifecycle knowledge Python/Java programming (5+ years) Cloud platforms (AWS/GCP/Azure) CI/CD tools experience Excellent communication and presentation skills
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Sauge AI Market Intelligence

Industry Trends

Streaming platforms are increasingly competing on personalization capabilities, making ML infrastructure crucial for market differentiation The convergence of content discovery and recommendation systems is driving demand for engineers who can bridge search and ML domains Cloud-native ML architectures are becoming standard for scalable streaming platforms

Salary Evaluation

The offered range of $145,600-$270,400 is competitive for senior ML roles in Seattle, particularly aligned with tech industry standards for staff-level positions

Role Significance

Likely leading a team of 5-8 ML engineers with indirect influence over broader engineering organization
Staff Engineer level position with significant technical leadership responsibilities and architectural decision-making authority

Key Projects

Global recommendation system architecture for Max streaming platform Search and personalization infrastructure scaling ML model deployment pipeline optimization Cross-platform content discovery systems

Success Factors

Ability to balance technical excellence with business impact Strong architectural vision for scalable ML systems Track record of successful large-scale ML deployments Effective cross-functional leadership skills

Market Demand

Very High - The combination of streaming media expertise and ML infrastructure skills is increasingly sought after as media companies transform into technology companies

Important Skills

Critical Skills

Search and Information Retrieval expertise critical for content discovery optimization Distributed Systems knowledge essential for global scale operations ML Infrastructure experience crucial for building robust deployment pipelines

Beneficial Skills

NLP capabilities for content understanding Streaming media technical knowledge Performance optimization expertise

Unique Aspects

Opportunity to influence recommendation systems for globally recognized streaming brands
Rare combination of content-rich environment with cutting-edge ML infrastructure needs
Position to shape technical direction of major streaming platform

Career Growth

2-4 years typical progression timeline with demonstrated impact

Potential Next Roles

Principal Machine Learning Engineer Engineering Director Chief Architect Technical Fellow

Company Overview

Warner Bros. Discovery

Warner Bros. Discovery represents a major player in the streaming wars, combining iconic content libraries with ambitious technical innovation

Leading media and entertainment company with significant investment in technical infrastructure
Seattle office represents strategic technical hub with strong competition for talent against tech giants
Blend of media industry creativity with technology sector innovation focus
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