Netflix, the renowned online streaming platform, has recently announced job vacancies for an Artificial Intelligence Product Manager.

The position aims to enhance the leverage of Netflix’s machine learning program and is based in the company’s Los Gatos, California office.

One of selected candidate will also have the option for a West Coast remote work arrangement. The official title for the role is Product Manager – Machine Learning Platform, and the offered salary ranges from $300,000 to an impressive $900,000.

Netflix’s job description states that the position is still open, and they are actively seeking candidates to join their team.

The power of Machin Learning and AI for Netflix

The company emphasized that with over 230 million members in more than 190 countries. They continue to shape the future of entertainment worldwide through the power of Machine Learning/Artificial Intelligence.

These technologies are driving innovation across various aspects of Netflix’s business, such as personalized content recommendations, optimizing payment processing, and revenue-focused initiatives.

L' Product Manager role entails utilizing AI in multiple facets of Netflix’s operations, including content acquisition and user personalization.

Qualifications for the position include prior experience in working with a centralized machine learning platform. The ability to collaborate and lead Netflix’s engineering teams, and strong written communication and strategic thinking skills.

Moreover, Netflix is also offering an annual salary of $650,000 (approximately ₹5 crore) for the role of Technical Director in its Game Studio, which requires expertise in AI knowledge.

In other news, Netflix has expanded its efforts to crack down on password sharing, including implementing these measures in India.

Despite these initiatives, Bloomberg reports that Netflix Inc. shares are anticipated to experience their biggest drop this year, as the company’s projected third-quarter revenue fell short of Wall Street’s estimates. This indicating that the crackdown on password sharing and a new advertising tier have not yet delivered the expected sales growth.