Netflix Research Engineer L4 - Member Lifecycle Monetization 

United States, Oregon 

186994429

In this role, you will:

• 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

What you’ll bring:

• A degree in Computer Science or a related field

• 2+ 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.

$150,000 - $750,000

Job is open for no less than 7 days and will be removed when the position is filled.