Research Engineer 4/5 – Member Lifecycle and Monetization

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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

• Design, implement and operate high impact machine learning models • Partner with researchers, engineers, data scientists, and product managers to identify high-value machine-learning applications • Translate business intuition into data-driven solutions • Create scalable, production-ready ML solutions • Take algorithms from initial concept through deployment in Netflix’s large-scale, real-time systems • Contribute to better infrastructure for developing and deploying ML models • Advocate for and apply best practices for availability, scalability, operational excellence, and cost management • Operate and innovate on growth and commerce algorithms in production • Validate solutions through offline experiments • Build online A/B tests for production systems

🎯 Requirements

• A degree in Computer Science or a related field • 4+ years of full-time engineering experience • Experience with large-scale applications involving machine learning • Strong software engineering principles and design skills • Excellent software design and development skills in Scala, Java, and Python • Knowledge of software engineering best practices, including version control, testing, and code review • Exceptional communication skills and ability to explain complex technical concepts clearly • Broad understanding of core machine-learning concepts and their application in large-scale, real-world systems • Familiarity with end-to-end machine-learning pipelines, including training or production deployment • Familiarity with challenges such as explainability • Ability to work effectively in large cross-functional teams

🏖️ Benefits

• Stock Option Program • Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off • Full-time salaried employees are immediately entitled to flexible time off