Next QConSF Conference: Applied AI for Developers QCon.ai April 2019

Speaker: Ville Tuulos

Machine Learning Infrastructure Engineer @Netflix

Ville Tuulos is a software architect in the Machine Learning Infrastructure team at Netflix. He has been building ML systems at various startups, including one that he founded, and large corporations for over 15 years. He enjoys exploring and building novel human-computer interfaces for complex domains, as well as low-level systems hacking.

Find Ville Tuulos at

@vtuulos
LinkedIn

Talk : Human-Centric Machine Learning Infrastructure @Netflix

Track : Applied AI & Machine Learning
Location : Ballroom A
Duration : 10:35am - 11:25am

Netflix has over 100 data scientists applying machine learning to a wide range of business problems from title popularity predictions to quality of streaming optimizations. Our unique culture gives data scientists plenty of freedom to choose the modeling approach, libraries, and even the programming language that will make them productive at solving problems. However, we want to balance this freedom by providing a solid infrastructure for machine learning, ensuring models can be promoted quickly and reliably from prototype to production, and enabling reproducible and easily shareable results.

We started building this infrastructure a little over a year ago with a human-centric mindset. Many existing open-source machine learning frameworks are great at making advanced modeling possible. The job of our ML infrastructure is to make it remarkably easy to apply these frameworks to real business problems at Netflix. We have found that this requires an infrastructure that covers the day-to-day challenges of data scientists holistically, from understanding input data to building trust with consumers of models, not just the parts that are directly related to fitting and scoring models.

Come learn the techniques and underlying principles driving our approach, which you'll be able to adapt and apply to your own use cases.

Other talks from track Applied AI & Machine Learning

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Chakri Cherukuri
Nearline Recommendations for Active Communities @LinkedIn
Senior Manager & Heading AI for Growth and Communication Relevance @LinkedIn
Hema Raghavan
Deep Representation: Building a Semantic Image Search Engine
Head of AI @InsightDataSci
Emmanuel Ameisen

Tracks

Monday, 5 November

Tuesday, 6 November

Wednesday, 7 November

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