Event times below are displayed in PT.
We are excited to host the first Products @Scale conference for technologists who work on solving complex product problems at scale. The development and operation of large-scale products serving millions or even billions of people involve complex product and business tradeoffs and challenging engineering problems to overcome. The @Scale community focuses on bringing people together to discuss these challenges and collaborate on developing new solutions. The conference will be hosted virtually with speakers and attendees from Twitch, Google, Microsoft, Meta, NVIDIA, Capital One, and Statsig. The event will feature talks and panel discussions themed around building products that scale across mobile, web, TV, and AR/VR.
Event times below are displayed in PT.
Event times below are displayed in PT.
Ime Archibong, head of New Product Experimentation (NPE) at Meta, and 12-year Meta veteran will talk about 0-1 innovation, at scale. He’ll discuss the value of experimentation as an approach, and demystify how real breakthroughs happen.
There are many tools that Creators can use to build novel AR experiences. However not many of these tools can deliver a wide ranging set of capabilities and creative assets to billions of devices with both quality and speed. In this talk we present Meta's experience building a large scale AR Runtime and share the lessons we learned along the way.
NVIDIA Map aggregates data from millions of NVIDIA DRIVE Hyperion consumer and survey data-collection vehicles for safe, reliable, and up-to-date global high-def map coverage. The platform supports automated driving functionality from L2+ to Level 4 autonomous vehicles. It also takes advantage of a fully automated mapping pipeline that implements machine learning and deep learning to create, update, and validate HD maps with no human intervention. This talk focuses on the challenges of building performant systems that can handle large-scale geospatial sensor data and deliver real-time updates to maps.
As a mobile app grows in users, features, and contributing engineers, there are often tradeoffs between the performance of the app and the velocity of feature growth. Messenger's users have high performance expectations, so we've had to redefine the way we write mobile infrastructure to maintain that performance while still providing reasonable developer velocity. This talk will dive into some of the approaches the Messenger team has taken, like optimizing our use of SQLite, carefully choosing when we load different parts of the application, and modularizing our dependencies.
In this talk, I'll be providing an overview of how we use ML algorithms to detect policy violative content on YouTube across all entity types: videos, comments, livestreams, engagements, etc and keep our community safe. ML algorithms are an essential part of YouTube Trust and Safety and I'm excited to share the lessons that we learned over many years while building, deploying and maintaining models at scale. Furthemore, I'll be covering the unique sets of challenges for different entity types and product surfaces, like livestreams and shorts, which makes the problem domain particularly intriguing.
An overview of how WhatsApp thinks of privacy in the messaging world. We’ll go through some of our general principles, concrete product use cases, and challenges that come with privacy at scale.
Trust & Safety at Twitch is uniquely challenging, as the vast majority of content and chat interactions unfold in real time, across a wide variety of communities with different needs, cultures, and audiences. Mitigating and preventing harm means creating fast-acting models that react quickly to bad actors’ new attack vectors, while giving Creators control over their communities. We need fast-acting models to prevent harm early and scale to all of our traffic, which can be thousands of Requests per Second. In this talk we highlight one specific challenge—channel-level ban evasion—and discuss how we address ML modeling and engineering challenges and fight this behavior on our service. We will touch on a number of strategies, including the Twitch ML Infra & ML Ops ecosystem, and how we build a complete ML stack from pipelining through real-time features, model serving, feature store and other systems.
Moderated by Sara Wong
Building successful products is hard. Building successful products at scale? Ridiculously hard! It takes strong vision, deep dedication, consistent execution, with a healthy sprinkle of unorthodox methods. This talk shares a few helpful lessons derived from decades of experience, to aid the modern product development process.
We’ll talk about two 0-1 products in the creator space: Subscriptions and Music Releases on IG. We’ll walk through how we built the early stages of these as visually stunning products, as well as the unique set of challenges our teams will solve for scaling them within the IG ecosystem of billions of users. Some of the challenges include keeping simplicity as we add features, ensuring portability, keeping a high bar for integrity, expanding products to different geographies, and scaling product infrastructure to handle larger loads.
In 2007, Facebook released their first iOS App. It was written in HTML, and it was supported by a single engineer. Since then, the Facebook iOS App has grown into a native ‘platform’ which supports more than 100 products, and hundreds of engineers. This talk focuses on the incremental changes made to Facebook’s App Architecture so it could sustainably support the hundreds of engineers who work on it, while still embracing Meta’s ‘move fast’ mentality.
At Capital One, building beautiful, rich, and performant mobile applications for iOS and Android is essential to providing a best-in-class experience for our customers and delivering on our mission to change banking for good. However, as our applications have grown in both size and scope — and the number of developers contributing to our codebases has increased — we’ve encountered numerous challenges, including long build times, duplicated code, highly coupled dependencies, and limitations of our dev tooling. In this presentation, we’ll discuss in detail the investments in our mobile platform that we’ve made over the years to conquer these obstacles, and our approach to repository management, application architecture, programming patterns, and test automation that empowers our mobile developers to deliver great customer experiences at scale.
Parisa Zare is a Technical Product Manager supporting the Facebook App Product Architecture organization. In her time at Meta she... read more
Maria Angelidou-Smith is VP and Head of Communities at Facebook, an organization that’s focused on empowering people to build community... read more
Ime Archibong is Head of New Product Experimentation (NPE) at Meta, where he leads an organization responsible for continuously building... read more
Nikita has been building, writing, developing, and shipping software for mobile, desktop, and distributed systems since 2008. During his career... read more
Paul is a Product Manager at Meta. He works on their augmented reality platform, building the core technology for Creators... read more
Ruchi Bhargava is currently senior director of engineering for autonomous driving at NVIDIA. As part of her role, she leads... read more
Joshua Evenson is a Senior Staff Software Engineer at Messenger. read more
Mehmet Emre Sargin received his Ph.D. degree in Electrical and Computer Engineering from University of California, Santa Barbara, in 2010.... read more
Aleksander is a software engineer on the WhatsApp Privacy team. Since joining WhatsApp in 2015 he has worked on infrastructure,... read more
Lukas Tencer is a Director of Applied Science at Twitch / Amazon. He and his team are responsible for making... read more
Lena is an applied scientist lead working on making Twitch a safe platform. She applies expertise gained in her physics... read more
As an engineering manager in proactive detection team at Twitch, I'm also a passionate engineer about SRE in production ML... read more
Sara Wong is a software engineer at Meta of 9 years, built a collection of 0 to 1 products (Mobile... read more
Xiao is currently leading the engineering team of the Instagram Business and Commerce Product Group. Her team is accountable for... read more
Boulos Harb leads the engineering organization at Level, a fintech startup that is transforming company benefits. He architected Level's innovative... read more
Daniel is a seasoned Product Manager with 8 years' experience working on developer tools and services. He's a gadget and... read more
Vijaye Raji is the founder and CEO of Statsig, a product experimentation startup that’s focused on making product building tools... read more
Steph is an engineering manager for the Instagram Artists & Audio team. read more
Laycee Berkas has been a designer for the past 15 years, driving high profile work from agencies like R/GA, Saatchi... read more
Dustin joined Meta in late 2014. He started in Facebook Reality Labs working on the Paper App. Since then, he’s... read more
Chad Landis is the Mobile Platform Architect at Capital One, leading various technical initiatives across the platform that power our... read more
Jason is an Engineering Manager at Meta in the Facebook App Product Foundation group. He is currently supporting teams working... read more
Dan Schafer is a Director of Engineering at Meta and a co-creator of GraphQL. He worked on the original GraphQL... read more
Denise is an engineer at Meta leading improvements in video playback Quality of Experience and playback performance. She’s spent over... read more
Kevin Galligan is the founder and Technical Partner at Touchlab. He has over 20 years of professional software development and... read more
Vishnu Nath is currently the General Manager in the Microsoft Office Product Group overseeing Engineering and Product for Microsoft OneNote.... read more