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Netflix Machine Learning Software Engineer L5 - Content Studio 
United States, Oregon 
816459920

20.03.2025
Job Posting Date
Data Science & Analytics

Responsibilities

  • Design and develop systems and solutions for developing algorithm tooling prototypes and enabling in-depth algorithm evaluation

  • Propose, promote and facilitate paved paths for integration and productization of algorithms, laying foundations for feedback loops and data flywheels

  • Identify and execute on opportunities to create leverage for scaling algorithm impact, managing algorithm dependencies and expanding algorithm distributions

  • Contribute to algorithm projects end-to-end across different domains

  • Cultivate strong relationships with cross-functional partners

  • Evangelize best practices on algorithm full stack engineering

About you

  • Proven track record of delivering high-impact algorithm-driven software systems and solutions

  • High proficiency in full stack engineering, including frontend, backend, distributed systems, and cloud infrastructure

  • Familiarity with algorithms and pipelines for processing large-scale media assets. Bonus: familiarity with common ML and DL frameworks such as PyTorch

  • Excellent communication and collaboration skills

  • Passion for bridging algorithms with tooling and workflows

  • Exceptional communication and collaboration skills

  • Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process

  • Netflix culture resonates with you

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $360,000 - $920,000.

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