Software Engineering • Senior

Who you are

You have 5+ years of experience in software engineering, particularly in building and operating large-scale distributed systems. Your expertise in Machine Learning allows you to understand the intricacies of batch inference workloads and how they can be optimized for performance and reliability. You are proficient in Python and have a solid grasp of the principles of software design and architecture, enabling you to create robust systems that meet the needs of ML practitioners.

You thrive in collaborative environments and enjoy working with cross-functional teams, including data scientists and ML engineers. Your strong problem-solving skills help you tackle complex challenges, and you are comfortable navigating the nuances of deploying machine learning models in production. You are committed to continuous learning and staying updated with the latest advancements in technology and ML practices.

Desirable

Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. You may also have experience with frameworks and libraries commonly used in ML, such as TensorFlow or PyTorch, which would enhance your contributions to the team.

What you'll do

As a Senior Software Engineer on the Offline Inference team, you will design and implement next-generation systems that handle large-scale batch inference workloads. Your role will involve building infrastructure that supports a friction-free, self-service experience for ML practitioners at Netflix. You will collaborate closely with other engineers and data scientists to ensure that the systems you develop are scalable, reliable, and efficient.

You will be responsible for optimizing the performance of batch inference jobs, which can range from minutes to multi-day processes. This includes monitoring system performance, troubleshooting issues, and implementing improvements based on feedback from users. You will also contribute to the development of best practices for deploying and managing ML models in production, ensuring that the systems are robust and maintainable.

In addition to your technical responsibilities, you will play a key role in mentoring junior engineers and sharing your knowledge with the team. You will participate in code reviews, provide constructive feedback, and help foster a culture of learning and collaboration within the team. Your contributions will directly impact how Netflix leverages machine learning to enhance its content offerings and improve user experiences.

What we offer

At Netflix, you will be part of a dynamic team that is at the forefront of innovation in the entertainment industry. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will have the chance to work on cutting-edge technology and contribute to projects that have a significant impact on how millions of people experience entertainment.

We value diversity and inclusion and strive to create an environment where everyone can thrive. Join us in pushing the boundaries of storytelling and technology as we continue to entertain the world.