Research Scientist 5 - Product

Netflix•Morton, IL

4d•$419,400 - $675,000

About The Position

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. As Netflix grows, we keep advancing innovations in personalization and discovery, experimentation and decision-making, understanding our members and our titles, and backend infrastructure. These developments constantly create new opportunities for research to drive meaningful impact. By exploring the frontiers of AI/ML and intersecting fields, the Machine Learning and Inference Research team turns these opportunities into tangible benefits for our members and our business. The Machine Learning and Inference Research team is a dedicated research team building up Netflix's technical capabilities by tackling fundamental research questions tied to our most important challenges and partnering closely with teams across the business to translate research into impact at scale. As a member of the team, you will leverage your technical expertise to help shape roadmaps, collaborate across functions, and bring new ideas from exploration to impact. You will also engage actively with the broader research community by publishing at relevant venues, presenting at conferences, mentoring interns, and fostering academic collaborations.

Requirements

Ph.D. in a relevant area, with some post-Ph.D. experience (3+ years) in industry and/or academia.
Experience in applying research (especially yours) to transform real-world problems in collaboration with engineering and business teams.
Solid research experience, in industry and/or academia, including as evidenced in peer-reviewed publications.
Demonstrated technical expertise and a track record of driving impact.
Effective at working with stakeholders for collaboration, guidance, problem-solving, and decision-making.
Strong judgment in identifying and framing ambiguous research and business problems and the links between the two.
Passion for collaboration and building strong relationships with colleagues and stakeholders to tackle cross-functional problems.
Strong communication with technical, non-technical, and mixed audiences.
Self-motivated with an ability to thrive and to lead your own projects with minimal oversight and process.
Shares knowledge and guides thought on the adoption of new methods.
Actively mentors others, such as interns or junior peers.

Responsibilities

Contribute to and execute a strong research agenda with both internal and external impact.
Disseminate knowledge effectively.
Collaborate with colleagues to deliver tangible business value.
Foster an open environment of innovation, intellectual rigor, and curiosity.
Publish at relevant venues, present at conferences, mentor interns, and foster academic collaborations.
Leverage technical expertise to help shape roadmaps, collaborate across functions, and bring new ideas from exploration to impact.