Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

As Netflix continues to grow, so do the opportunities to enhance our personalization systems and algorithms. We're looking for a passionate and talented Software Engineer for Machine Learning to join our Al for Member Systems team. In this role, you will apply your expertise in software engineering to design, develop, and scale solutions for the machine learning algorithms that power the Netflix experience. You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests. For more details about software engineering for personalization at Netflix, see these links: 

• Consolidating ML models

• InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models

• Evidence Personalization

• Page Simulation for Better Offline Metrics at Netflix

• RecSysOps

As a software engineer in the team, you will contribute to the next generation of algorithms used to generate the Netflix experience by driving the vision, requirements, design, implementation, testing, and ownership of software components essential for our algorithmic innovation. You will collaborate 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. To excel in this role, you should have a robust software engineering background, a keen sense of software engineering principles and design, a proven experience with large-scale applications involving machine learning, a love of learning, possess strong communication skills, and the ability to work well in large cross-functional teams.

What we are looking for:

• A degree in Computer Science or a related field 

• 4+ years of full time software engineering experience with a bachelor’s degree; or 2+ years of experience with a graduate degree

• Excellent software design and development skills in Python along with Scala, Java, C++, or C#

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

• Experience building web-scale parallel and distributed computing systems

• Experience with large-scale data frameworks such as Spark or Flink

• Excellent collaboration skills

• Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems

Preferred, but not required:

• Experience building or enhancing personalization systems, machine learning platforms, search engines, or similar large-scale machine learning applications.

• Experience building machine learning models or LLMs

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

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

• Experience with cloud computing platforms like AWS

• Background in math, statistics, or numerical computation

• Significant contributions to open-source projects

What we offer:

Our compensation structure cons