Netflix, a global entertainment leader with 283 million subscribers, is seeking a Research Engineer for their Member Lifecycle and Monetization Data Science & Engineering team. This role is crucial in driving sustainable growth through data-driven solutions and machine learning applications. The position offers an opportunity to work on greenfield ML projects that can drive millions in revenue impact.
The role combines machine learning expertise with software engineering, focusing on developing and deploying ML models that optimize member revenue and conversion experiences. You'll be working with cutting-edge technology while collaborating with cross-functional teams of ML engineers, scientists, and product managers.
This is an excellent opportunity for someone passionate about applying ML at scale, with the position offering competitive compensation ($150,000 - $750,000) and the flexibility to choose between salary and stock options. The remote work environment and Netflix's strong inclusion values create an ideal setting for innovation and growth.
As a Research Engineer, you'll be responsible for designing ML models, creating scalable solutions, and contributing to infrastructure development. The role requires a blend of technical expertise in languages like Scala, Java, and Python, along with strong communication skills to work effectively across teams.
Netflix's unique culture emphasizes freedom and responsibility, offering a chance to work on impactful projects that shape the future of entertainment technology. The position provides an opportunity to work with large-scale systems while contributing to Netflix's continued growth and innovation in the streaming industry.