Software Engineer 4/5 – Model Serving Systems, AI Platform

About the role

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated AI infrastructure is key to accelerating this innovation.

More recently, fast-paced innovation in large language models (LLMs) has greatly helped advance state-of-the-art technology in many areas of personalization, including search and recommendation experiences.

The Opportunity

The Model Serving Systems team provides the computational platform on which we build nearly all our consumer and studio-facing AI/ML applications. We provide all the building blocks to serve AI/ML models at scale, including a real-time model inference and serving platform, foundational abstractions that ensure consistency between online and offline systems, and more. Additionally, as we expand to enable LLM innovation in numerous areas of personalization, we’re building model serving infrastructure for LLMs and other large foundation models.

We're expanding our model serving systems to meet the evolving needs of the evolving AI landscape. ​​We are looking for strong engineers to develop and expand our compute infrastructure to support the growing AI needs, enable the application of ML in new business areas, and drive AI/ML innovation across Netflix. Our systems power some of Netflix's most business-critical models, and we need you to take our AI/ML initiatives to the next level. You will play a highly cross-functional role, partnering with other engineers, product managers, machine learning engineers, and data/research scientists.

If you have a passion for building scalable, robust systems, are interested in pushing the envelope in applying AI/ML algorithms, and operate in a critical part of the stack that strongly influences what our customers see on their screens, then we want to talk to you.

You may enjoy working with us if:

- You strive to embrace best practices and are curious about discovering new and better ways to solve problems.

- You are self-driven and highly motivated to deliver top-tier solutions while learning from and collaborating with Stunning Colleagues.

- You are strongly motivated to pick up new domains and ship high-quality, extensible code.

- You are excited to work in a multidisciplinary environment (engineering, algorithms, data engineering/science, product experimentation).

- You are comfortable working in a team with peers and partners distributed across (US) geographies & time zones.