Algorithms, C Programming, C++, Deep Learning, Effective communication skills, Java Programming, Keras software library, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Recommendation Systems, Scala Programming, Spark Core, TensorFlow
NOTE: This job posting is inclusive of a variety of positions within our Algorithms Engineering group. Based on your background, expertise and interests, we will route you to the appropriate team(s).
Netflix is the world's leading internet entertainment service with over 220 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and games across a wide variety of genres and languages. Members can watch videos and play games as much as they want, anytime, anywhere, on any internet-connected screen.
To achieve our mission of entertaining the world, we are reinventing entertainment from end to end. We are revolutionizing how shows, movies, and games are produced, pushing technological boundaries to efficiently deliver streaming video at massive scale over the internet, and continuously improving the discovery and personalization of our offerings to our global user base using Machine Learning and data analytics.
Applied Machine Learning Research at Netflix improves various aspects of our business, including personalization, recommendations, search, content understanding, messaging, targeting, new member acquisition etc. As such, our research spans many Machine Learning areas, including deep learning, search and recommender systems, causal inference, reinforcement learning and bandits, computer vision, computer graphics, natural language processing, and computational advertising.
We are looking for exceptional individuals to work full time with us as research scientists. In this role, you will conduct applied research by conceptualizing, designing, implementing, and validating potential algorithmic improvements. This includes researching and applying cutting edge machine learning algorithms, running offline experiments, and building online A/B tests to run in production systems. To be successful in this role, you need a strong machine learning background, solid software development skills, a love of learning, a passion for solving end-user problems and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a dynamic environment.
What we are looking for:
Preferred, but not required:
Links: Netflix Research site
Our culture
Our long term business view
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 family, background, 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 $90,000 - $900,000.
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.
At Netflix, our mission is to entertain the world. With 200+ million paid members in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages, Netflix is reinventing entertainment from end to end. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at a massive scale over the internet.
Los Gatos, CA, USA
4-6 year
Los Angeles, CA, USA
4-6 year
Los Gatos, CA, USA
2-4 year