Netflix is the world's leading streaming entertainment service with 238M paid memberships in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages. Machine Learning drives innovation across all product functions and decision-support needs. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.

We are looking for an experienced engineering leader to lead the Metaflow team in the Machine Learning Platform org. The ML Platform org is chartered to maximize the business impact of all ML practice at Netflix and innovate on ML infrastructure to support key product functions like personalized recommendations, studio innovations, virtual productions, growth intelligence, and content demand modeling among others.

Metaflow is an OSS ML platform developed here at Netflix, and now leveraged by several companies around the world. The Metaflow team within Netflix continues to develop our internal version and ecosystem of Metaflow, the most advanced in the world, to drive even higher levels of ML productivity for our customers. Our internal ecosystem includes fast data processing, ML serving capabilities, and other extensions not available elsewhere.

In this role you will be responsible for a high visibility, widely adopted product that 100+ ML projects within Netflix, spanning consumer scale personalization, growth, studio algorithms, and content understanding models. We are looking for a leader who has prior experience building ML infrastructure, has a strong product sense, and technical vision to help take Metaflow to the next level of impact. Metaflow has the opportunity to grow in many ways such as higher level ML abstractions to reduce the boiler plate for common use cases, improving Metaflow core in collaboration with OSS to make the existing capabilities more flexible and powerful, and deepening our integration with other internal platform offerings.

Expectations

Vision: Understanding the media business and how technology is changing the landscape will allow you to lead your team by providing clear technical and business context.
Partnership & Culture: Establishing positive partnerships with both business and technical leaders across Netflix will be critical. We want you to regularly demonstrate the Netflix culture values like selflessness, curiosity, context over control, and freedom & responsibility in all your engagements with colleagues.
Judgment: Netflix teams tend to be leaner compared to our peer companies, so you will rely on your judgment to prioritize projects, working closely with your partners - the personalization research leaders.
Technical acumen: We expect leaders at Netflix to be well-versed in their technical domain and be a user of the products we are building, so they can provide guidance for the team when necessary. Proficiency in understanding the needs of research teams and how to bring efficient ML infrastructure to meet those needs will be crucial.
Recruiting: Building and growing a team of outstanding engineers will be your primary responsibility. You will strive to make the team as excellent as it can be, hiring and retaining the best, and providing meaningful timely feedback to those who need it.

Minimum Job Qualifications

Experience leading a team responsible for large-scale ML Infrastructure
Strong product sense – you take pride in building well designed products that users love.
Outstanding people skills with high emotional intelligence
Excellent at communicating context, giving and receiving feedback, fostering new ideas, and empowering others without micromanagement
Willing to take action, without being stubborn - the ability to recognize your own mistakes
Your team and partners see your humility all the time and diverse high-caliber talent wants to work with you

Preferred Qualifications

10+ years of total experience including 3+ years of engineering management
Experience with modern OSS ML frameworks such as Tensorflow, PyTorch, Ray.
Prior experience building and scaling Python ML infrastructure
Prior experience in personalization or media ML domains.
Exposure to Kubernetes or other container orchestration systems
BS/MS in Computer Science, Applied Math, Engineering or a related field
ML practitioner leader or individual contributor experience owning end-to-end ML functions for a product domain

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.

The overall market range for roles in this area of Netflix is typically $180,000 - $900,000.

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

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