A few tips on how I added Backend/API engineer to my list of skills while on the job at Headspace. — Author: Lee Richardson, Senior Software Engineer Intro I started my career at Headspace (1000 years ago, way back in 2019!) as a Web engineer. Our frontend stack is primarily React, Redux, Redux-Saga, Emotion and several internal libraries for shared functionality/UI components. The first big feature I worked on was a…

By Setu Shah, Staff Machine Learning Engineer The Data Science team at Headspace Health is a heavy user of building, training and production-izing transformer-based NLP models. Depending on the application, our NLP models operate at varying levels of atomicity: token, word, phrase, sentence, paragraph and document. A lot of our…

Our testing strategy, how we integrate it into our development workflow, and what the future holds for testing at Headspace. By John Qualls, Senior Software Engineer, Greg Rami, Principal Software Engineer, and Anton Gerasimenko, Software Engineer Introduction When we took on the daunting task of rewriting our entire app at the…

George Torres, Director of Engineering at Headspace recently participated in an AWS and AWS Partner Auth0 webinar on scaling identity and minimizing security risk. You can use this link to register and watch the webinar. Delivering security and mindfulness at scale Headspace’s mission is to improve the health and happiness of the world by providing guided…

Author: Rohan Singh Rajput. Rohan is a Senior Data Scientist at Headspace. He combines his passion for Machine Learning with Causal Inference to improve the mindfulness and meditation practices of Headspace users. “If you can’t measure it, you can’t improve it.” — Peter Drucker. Motivation Content Customizer is Headspace’s personalized recommendation…

Author: Matt Linder / Co-Author: Koyuki Nakamori TL;DR Headspace wanted to serve personalized content to members who had not recently opened the app We built out infrastructure that allowed us to leverage our Cloud services, plus the 3rd party Braze Customer Engagement platform, to serve Machine Learning-recommended content to members via…

Author: Mo Messidi, a seasoned DataOps leader at Headspace with a decade of experience in both startups and enterprises. His mission is to help organizations operationalize their data. This article presents a simple, yet comprehensive, set of MLOps best practices for organizations to assess the production readiness of machine learning…

Author: Yu Chen, Senior Software Engineer / Co-author: Koyuki Nakamori, Senior Engineering Manager Introduction Data is often most valuable when it can be immediately leveraged to make decisions in the moment, but traditionally consumer data is ingested, transformed, persisted, and sits dormant for lengthy periods of time before being used by…

Author: Jesse Bond, Senior Software Engineer, Web Introduction: How does modern authentication work? Authentication allows users to securely log into a system and verify that they are who they say they are in subsequent requests. On today’s web, this usually involves creating an account using a combination of username and password. Let’s start with a quick…