Netflix

About Netflix

The streaming service redefining entertainment worldwide

🏒 Tech, MediaπŸ‘₯ 10K-50KπŸ“… Founded 1997πŸ“ Los Gatos, California, United States

Key Highlights

  • Over 238 million subscribers across 190 countries
  • Headquartered in Los Gatos, California
  • Valued at over $150 billion
  • Offers a vast library of original content and films

Netflix, headquartered in Los Gatos, California, is a leading streaming service with over 238 million subscribers globally. The platform offers a vast library of movies, TV shows, and original content, including award-winning series like 'Stranger Things' and 'The Crown.' With a market valuation exc...

🎁 Benefits

Employees enjoy competitive salaries, stock options, unlimited PTO, and comprehensive health benefits. Netflix also offers a flexible remote work poli...

🌟 Culture

Netflix fosters a culture of freedom and responsibility, encouraging employees to take risks and make decisions independently. The company values tran...

Netflix

Machine Learning Manager β€’ Lead

Netflix β€’ United States - Remote

Posted 7 months ago🏠 RemoteLeadMachine Learning ManagerπŸ“ United StatesπŸ’° $523,000 - $920,000 / yearly
Apply Now β†’

Overview

Netflix is hiring a Machine Learning Manager for their Asset Generation team to develop innovative tools leveraging Machine Learning and Computer Vision. You'll work with technologies like Large Language Models and AI Agents to enhance user engagement. This role requires strong expertise in machine learning technologies.

Job Description

Who you are

You have a strong background in machine learning and computer vision, with experience in developing innovative tools that enhance user engagement. Your expertise in large language models and AI agents allows you to push the boundaries of storytelling and creativity in technology. You understand the importance of data-driven decision-making and have a passion for leveraging cutting-edge technology to create compelling user experiences.

You are a collaborative leader who thrives in a team environment, working closely with cross-functional teams to drive impactful marketing strategies. Your ability to communicate complex technical concepts to non-technical stakeholders is a key strength, enabling you to bridge the gap between creativity and technology. You are committed to fostering diversity and inclusion within your team and the broader organization.

Desirable

Experience with innovative marketing campaigns and user acquisition strategies is a plus. Familiarity with the entertainment industry and its unique challenges can help you excel in this role.

What you'll do

As a Machine Learning Manager at Netflix, you will lead a team dedicated to developing tools and processes that utilize machine learning and computer vision technologies. You will oversee the implementation of large language models and AI agents to enhance user engagement and improve the overall experience for Netflix members. Your role will involve crafting targeted marketing strategies that resonate with potential subscribers and drive engagement with existing content.

You will collaborate with creative teams to ensure that the artwork, trailers, and synopses presented to users authentically represent each title. By leveraging data and insights, you will help shape the direction of marketing campaigns that capture the attention of new audiences and increase subscriptions. Your leadership will be crucial in guiding your team through the complexities of merging creativity with technology, ensuring that innovative solutions are developed and implemented effectively.

What we offer

At Netflix, you will be part of a dynamic team that values creativity and innovation. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will have the chance to work on exciting projects that push the boundaries of technology and storytelling, making a real impact on how audiences engage with our content. Join us in our mission to entertain the world and be part of what’s next in the entertainment industry.

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