Jobs in Los Gatos, CA

About the role

Role location: Los Gatos, CA or Remote. Netflix is one of the world’s leading streaming entertainment services, with over 270 million members in 190 countries enjoying 1000s of TV Shows, Movies and Games every month via a variety of subscription plans - from Ad supported entry level plans to Premium plans that provide best-in-class streaming experience. The Growth & Commerce Data Science & Engineering team plays a critical role in driving and accelerating sustainable growth of Netflix members and revenue globally, by leveraging data, experimentation & machine learning to develop compelling and persuasive conversion and monetization experiences across the membership lifecycle - starting from the signup flow which is visited daily by millions of prospective members looking to find persuasive information about our service, to timely & relevant commerce experiences post-signup to optimize revenue per member. As a Senior Research Engineer, you will join this team of stunning Data Scientists, Analytics Engineers and ML Scientists to lead the development of algorithmic & ML driven experience optimization systems ML for Growth & Commerce experiences is a relatively greenfield area, with potential for several 0-1 applications that can drive millions of dollars of impact at Netflix’s scale. You will be responsible for operating, as well as innovating on, these algorithms in production, and validating through running offline experiments, and building online A/B tests to run in production systems. You’ll partner with other ML engineers, scientists and product managers on cross-functional ML initiatives. You’ll spot gaps in how we’ve done things before, and you’ll find a better way to do them.

What you'll bring

• You will need to demonstrate strong communication and leadership skills, an ability to set priorities, and a strong bias to action in a dynamic environment.
• Deep end-to-end ML experience with a strong track record of deploying successful ML solutions
• Exceptional communication skills, able to explain complex technical concepts clearly to cross-functional partners
• Ability to deal with ambiguity
• a strong ownership mindset, and a desire to thrive on minimal oversight and process
• Willingness to learn and rapidly absorb business context in the complex payments ecosystem
• Strong experience in a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow)
• Excellent software engineering skills in multi-language settings with Scala, Java, and Python
• Experience with Growth
• PhD or Masters in Computer Science or related field preferred
• Experience with causal ML or reinforcement learning is a plus
• Notifications or other Targeting systems is a plus

Benefits