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Netflix Machine Learning Scientist L4 - Content Demand Modeling United States, California 906305990
17.07.2024
In this role, you will:
- Develop and deploy robust, scalable ML systems that are critical to advancing Netflix’s content understanding, production, and promotion workflows.
- Collaborate with machine learning scientists, data engineers, and machine learning platform engineers to define project roadmaps, ensure alignment of goals, and drive strong execution.
- Manage the full lifecycle of model development, including data gathering and preparation, training, evaluation, deployment, continuous monitoring, and improvement.
- Work cross-functionally with partners across the business in different domains and with different backgrounds.
- Help lay the foundation that allows the team to accelerate and therefore more effectively scale its impact
About you:
- Strong foundation in machine learning or data science. Practical experience in supervised and/or unsupervised machine learning methods.
- Passion for problem-solving and creative thinking.
- Strong programming skills in Python and proficiency with SQL – create code that is understandable, simple, and clean, and easily shared with others.
- Self-motivated to build, with an ability to thrive with minimal oversight and process.
- Able to communicate your ideas clearly and succinctly to audiences with varying technical backgrounds.
- You enjoy working with diverse colleagues of a variety of technical backgrounds and expertise. Empathy for users and collaborators with a variety of technical skills.
- You are collaborative and thrive in fast-paced dynamic environments, contributing positively to the team and company culture.
- Passionate about data quality and delivering effective data to impact the business.
- Enthusiasm about and compatibility with Netflix
Bonus:
- Experience building ML infrastructure with an eye toward software engineering.
- Time series modeling and forecasting.
- Experience working with large data, e.g. ‘out-of-memory’ data.
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 $170,000 - $720,000.
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