Scale with Alexandr Wang
Machine learning is widely understood by the software community. But it is still hard to build a company around machine learning, because there is not easy access to large, unique data sets.
Scale is a platform for training and validating data that is used for machine learning.
Most machine learning models are built with supervised learning. Labeled examples are analyzed to understand the mathematical correlations between those labels. The more labeled training examples there are, the more accurate the correlations will be.
Today, we have high quality frameworks for writing the models. We have cheap cloud computing for training and deploying the models. The biggest factor that is preventing a wide variety of potential machine learning applications from existing is lack of access to large, labeled data sets.
Scale gives developers an API for labeling images, sound, natural language, and video. Scale is used by self-driving car companies, Airbnb, OpenAI, retailers, and robotics companies. The product is used broadly and at high volume. Scale was started only three years ago, and recently raised $100m at a valuation above $1b, making it one of the fastest growing software companies in history.
Alexandr Wang joins the show to discuss how Scale works, the future of machine learning, and the future of work. He also describes the complexities of building Scale, and how he manages his own psychological state.
Sponsorship inquiries: email@example.com
Check out our active projects:
- We are hiring a head of growth. If you like Software Engineering Daily and consider yourself competent in sales, marketing, and strategy, send me an email: firstname.lastname@example.org
- FindCollabs is a place to build open source software.
- The SEDaily app for iOS and Android includes all 1000 of our old episodes, as well as related links, greatest hits, and topics. Subscribe for ad-free episodes.
Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.
Datadog unites metrics, traces, and logs in one platform so you can get full visibility into your infrastructure and applications. Check out new features like Trace Search & Analytics for rapid insights into high-cardinality data, and Watchdog, an auto-detection engine that alerts you to performance anomalies across your applications. Datadog makes it easy for teams to monitor every layer of their stack in one place, but don’t take our word for it—start a free trial today & Datadog will send you a T-shirt! softwareengineeringdaily.com/datadog
CloudBees Rollout lets you manage feature flags easily. When you have a solution to manage feature flags at scale, you’re empowered to continuously and intelligently roll out changes as soon as they are code complete on any platform – even mobile. Experience how CloudBees Rollout can help you with every release. Visit softwareengineeringdaily.com/rollout to get a free trial.
Vettery is an online hiring marketplace that connects highly qualified workers with top companies. Vettery keeps the quality of workers and companies on the platform high, because they vet both workers and companies. Check out vettery.com/sedaily, and get a $300 sign-up bonus if you accept a job through Vettery.
MongoDB is the most popular document-based database built for modern application developers and the cloud era. Try MongoDB today with Atlas, the global cloud database service that runs on AWS, Azure, and Google Cloud. Configure, deploy, and connect to your database in just a few minutes. Check it out at mongodb.com/atlas.