Machine Learning Engineer L4, Algorithms Engineering - Los Gatos, United States - Netflix

Netflix Los Gatos, United States

3 weeks ago

Full time

Description

Netflix is the world's leading streaming entertainment service with 220M+ paid memberships in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages.

The OpportunityWe are looking for a passionate and talented machine learning engineer to join our applied ML research team on estimating long-term member satisfaction. As Netflix continues to grow, we are venturing into exciting new frontiers of personalization to help our members find the content they'll most enjoy. To do this, we have to understand which titles, and what experiences in the product, produce the most joy for each member.

In this role, you will contribute to building, implementing, and scaling the next generation of personalization algorithms using techniques such as causal inference, machine learning, reinforcement learning, and econometrics. You will work with a team of experts in these techniques to understand how members experience titles, and how that changes their long-term assessment of their satisfaction with the Netflix service. You will be responsible for operating, as well as innovating, these algorithms in production. 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. You will partner with people from many disciplines, including behavioral scientists, machine learning researchers, and application engineers.

To be successful in this role, you need a strong machine learning and software engineering background and have proven experience with large-scale applications involving machine learning. 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

Experience with large-scale, real-world machine-learning applications

Experience in machine learning, causal inference, reinforcement learning, and econometrics

Strong mathematical skills with knowledge of statistical methods

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

Experience with machine learning libraries TensorFlow, PyTorch, JAX, or Keras

Experience with large-scale data frameworks such as Spark, Flink, Hive, or Hadoop

Solid understanding of various software engineering best practices and their appropriate application

Exceptional problem-solving skills

Great interpersonal skills

Strong written and verbal communication skills

Preferred, but not required:

Experience working with cross-functional teams

Experience using Deep Learning, Bandits, CausalML, Reward models, or Reinforcement Learning in real-world applications

Experience in applied research in industrial settings

Open source contributions

Research publications at peer-reviewed journals and conferences on relevant topics

Experience scaling and optimizing the training and serving of machine learning models

Netflix focuses on Digital Entertainment. Their company has offices in Los Gatos. They have a very large team that's 5000+ employees. To date, Netflix has raised $3.102B of funding; their latest round was closed on April 2018.
You can view their website at or find them on LinkedIn.

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