Research Engineer 4/5 - Member Lifecycle and Monetization

Summary

Netflix is an entertainment company that uses creativity, intuition, and cutting-edge technology to entertain the world. The Research Engineer will operate and innovate on growth and commerce machine learning algorithms, validate them through offline experiments, build online A/B tests, and develop scalable production-ready ML solutions in partnership with cross-functional teams.

Responsibilities

• Design, implement and operate high impact machine learning models
• Partner closely with cross-functional teams, including researchers, engineers, data scientists, and product managers, to identify high value applications of machine learning, translating business intuition into data-driven solutions
• Work closely with scientists and engineers to create scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment in Netflix's large-scale, real-time systems
• Contribute to the development of better infrastructure for developing and deploying ML models
• Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management

Skills

• A degree in Computer Science or a related field
• 4+ years of full time engineering experience
• Curious, self-motivated, and excited about solving open-ended challenges at Netflix
• Excellent software design and development skills in multi-language settings with Scala, Java, and Python and software engineering best practices (e.g. version control, testing, code review, etc.)
• Exceptional communication skills, able to explain complex technical concepts clearly to cross-functional partners
• Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems
• Familiarity end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability

Qualifications

Must Haves

• A degree in Computer Science or a related field
• 4+ years of full time engineering experience
• Curious, self-motivated, and excited about solving open-ended challenges at Netflix
• Excellent software design and development skills in multi-language settings with Scala, Java, and Python and software engineering best practices (e.g. version control, testing, code review, etc.)
• Exceptional communication skills, able to explain complex technical concepts clearly to cross-functional partners
• Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems
• Familiarity end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability

Benefits

• Health Plans
• Mental Health support
• A 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
• Full-time salaried employees are immediately entitled to flexible time off
• Remote work arrangement