Engineering Manager – Page Construction Models, Ranking Models

🕒 July 30

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Lead and grow a team of AI research scientists and AI research engineers focused on either page construction or title ranking. • Set the technical vision and roadmap for your team, balancing investment across mature, production-grade models and newer generative approaches. • Guide your team through the shift from traditional machine learning toward generative, LLM-based methods. • Drive infrastructure decisions in partnership with adjacent ML and platform teams. • Own the quality of your team's algorithms across the entire product surface: homepage, kids' profiles, partner devices, short-form video, games, etc. • Partner closely with the engineering manager leading the adjacent team to ensure the two models work together as a coherent personalization experience. • Work closely with Product Management to translate member experience goals into strategy and experimentation plans. • Hire, develop, and retain a diverse, high-caliber team, supporting existing technical leads.

🎯 Requirements

• 8+ years in applied ML/science or ML engineering, including 3+ years in a technical leadership or people management role. • Experience with applying large language models and genAI innovations recommendation and ranking problems. • Experience with multi-objective optimization or slate/page-level value modeling - problems where the quality of a whole set matters, not just individual items. • Experience managing teams operating across both mature, production-grade models and early-stage experimental work at the same time. • Background at a consumer-scale company with AI-driven products (streaming, social media, marketplaces, search, advertising). • Familiarity with the full ML production lifecycle: data pipelines, training, evaluation, serving, and experimentation. • Strong product instincts: the ability to connect technical decisions to member experience outcomes and partner effectively with product management. • Excellent stakeholder management and communication skills, able to align senior partners across engineering, science, product, and platform teams.

🏖️ Benefits

• Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Flexible time off for salaried employees