Research Scientist, Algorithms Engineering

Remote Full-time
Welcome to Netflix, the world's leading internet entertainment service with over 167 million paid memberships in over 190 countries. We are seeking a highly motivated and innovative Research Scientist to join our Algorithms Engineering team. As a Research Scientist at Netflix, you will have the opportunity to work on cutting-edge research projects and contribute to the development of algorithms that power our personalized content recommendations. Our ideal candidate is a self-driven individual with a strong background in computer science, statistics, and machine learning. Join us in revolutionizing the entertainment industry and shaping the future of streaming technology.

Conduct cutting-edge research in the fields of computer science, statistics, and machine learning to develop innovative algorithms for personalized content recommendations.
Collaborate with cross-functional teams to identify and prioritize research projects that align with the company's goals and objectives.
Stay up-to-date with the latest developments and advancements in the fields of computer science, statistics, and machine learning to continuously enhance the quality and accuracy of our algorithms.
Utilize data analysis and statistical techniques to evaluate and improve the performance of existing algorithms.
Develop and maintain a deep understanding of user behavior and preferences to inform algorithm development.
Communicate research findings and recommendations to stakeholders and present at conferences and industry events.
Take ownership of projects and drive them to completion, while adhering to timelines and delivering high-quality results.
Contribute to the development of a collaborative and innovative culture within the Algorithms Engineering team.
Mentor and provide guidance to other team members, sharing knowledge and best practices.
Embrace and promote a data-driven approach to decision-making and problem-solving.

Netflix is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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