Engineering Manager, ML UI Tooling, Machine Learning Platform

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.

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 ML infrastructure is key to accelerating this innovation.

The ML UI Tooling team builds UI tools to enhance the productivity and efficiency of all Netflix ML practitioners. The team owns and operates a centralized ML lifecycle visualization platform that provides a comprehensive and centralized way for ML practitioners across Netflix to manage ML models, featuring visualization, observability, and performance benchmarking capabilities. 

We are looking for an experienced engineering leader to build this team from the ground up, collaborating closely with their partners within the ML Platform organization located in the U.S. You will be highly cross-functional in partnering with other engineering, product management, and machine learning teams to provide a cohesive and standardized tooling suite for all ML practitioners across Netflix to enable us to take Netflix’s ML/AI initiatives to the next level. To be successful in this role, you need strong customer empathy and product sense for internal tools and a passion for building highly leveragable tools that enable and accelerate our ability to manage large and complex ML models across a wide range of domains, including Personalization, Ads, Content, Studio, and Commerce.

In this role, you will:

• Partner with Applied Research, backend ML infrastructure teams, and Product Managers to understand their needs and gather and iterate on the platform’s requirements.

• Drive the architecture, design, build vs. buy evaluation, and execution of the ML lifecycle management tooling. Strive for extensibility and ease of use to ensure the platform can scale to meet the needs of the evolving ML/AI landscape and use cases.

• Build a roadmap focused on incremental delivery. Define success metrics, align on migration goals, and drive the platform’s adoption.

• Communicate progress to stakeholders, customers, and senior leadership primarily in the U.S.

• Maintain existing tooling, balancing immediate needs in current systems while prioritizing the development of a cohesive UI tooling suite.

• Hire and grow diverse, highly talented engineers while maintaining and fostering an inclusive team culture.

To succeed in this role, you will need:

• Extensive software engineering experience with proven experience leading engineering teams.

• Experience leading teams responsible for building highly leveraged UI tooling, particularly for ML practitioners.

• A proven understanding of backend distributed systems and full-stack systems using object-oriented programming (preferably Java), web API frameworks (preferably Spring Boot), and UI frameworks like React.

• Knowledge of ML model lifecycle management to build end-to-end visualizations spanning development, deployment, and monitoring of ML models.

• A passion for translating the needs of ML practitioners into tooling offerings with an eye toward automated and self-serve capabilities.

• A demonstrated ability to develop, drive, and execute a technical vision and roadmap.

• A track record of attracting top talent and leading and growing high-performance, diverse, and highly talented engineers deep into their careers to maximize their impact and deliver results in a fast-paced and dynamic environment.

• Experience working with partners and customers distributed across U.S. geographies and time zones.

To learn more about our ML Platform, you can review the relevant talks/blog posts on the Netflix ML Platform Research website.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.