Software Engineer L4 - Machine Learning for Personalization

As Netflix continues to grow around the world, we face new and exciting challenges for our machine learning systems so that we can provide a perfect personalization experience for each of our over 200M members. We need to handle the scale and diversity of tastes of people around the world. We seek to enable new user interface and interaction paradigms by ensuring that we use every piece of screen real-estate in an effective manner. To do this requires our machine learning algorithms and systems for creating the home page to elevate to the next level.

The Experience Personalization team is looking for a passionate and talented software engineer to join us. In this role, you will create the software that enables our end-to-end machine learning research and development. You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and also take on offline experiments and A/B tests. For more details about Netflix personalization, see these links: 

-Evidence Personalization

As a software engineer in the team, you will contribute to the next generation of algorithms used to generate the Netflix home page by driving the vision, requirements, design, implementation, testing, and ownership of software components essential for our algorithmic innovation. This extends across our experimentation and production pipelines for training, features, labels, metrics, and publishing along with the online aspects of model evaluation, logging, monitoring, etc. You will team up with our applied researchers and data scientists to implement scalable, flexible, production-ready solutions for our algorithms. You will also guide the team towards better software engineering practices and systems by identifying areas for improvement and mentorship. You will collaborate with other engineers to create solutions that are used beyond our team in other areas that we do personalization or machine learning. To be successful in this role, you have a strong software engineering background, a keen sense of software engineering principles and design, a proven experience with large-scale applications, a love of learning, are a good communicator, and work well in large cross-functional teams.

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. 

The overall market range for roles in this area of Netflix is typically $100,000 - $464,000. 

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.