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). All teams may not be hiring at the same time.

　　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:

　　A burning desire to solve real world problems at scale by applying Machine Learning

　　PhD or Masters in Computer Science, Statistics, or any of the related fields

　　5+ years of research experience with a track record of delivering quality results

　　Expertise in machine learning spanning supervised and unsupervised learning methods

　　Experience in successfully applying machine learning to real-world problems

　　Exceptional problem solving skills

　　Strong mathematical skills with knowledge of statistical methods

　　Excellent software engineering skills in languages such as Scala, Java, Python, C++ or C#

　　Great interpersonal skills

　　Strong written and verbal communication skills

　　Preferred, but not required:

　　Experience as a technical leader

　　Experience working with cross functional teams

　　Experience in Search, Recommendations, Natural Language Processing, Knowledge Graphs, Conversational Agents, and Personalization, etc

　　Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real world applications

　　Experience with Spark, TensorFlow, Keras, and PyTorch

　　Experience with cloud computing platforms and large web-scale distributed systems

　　Experience in applied research in industrial settings

　　Open source contributions

　　Research publications at peer reviewed journals and conferences on relevant topics

　　Links:

　　Netflix Research site (https://research.netflix.com/)

　　Our culture

　　Our long term business view (https://ir.netflix.net/ir-overview/long-term-view/default.aspx)

　　Netflix is an equal opportunity employer:

　　Netflix's culture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

　　Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.

　　Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here (https://jobs.netflix.com/work-life-philosophy) .

　　Netflix is a unique culture and environment. Learn more here (https://jobs.netflix.com/culture) .