Scribd | Software Engineers | San Francisco, Toronto, Amsterdam | ONSITE or REMOTE | VISA
Scribd is a reading subscription that gives you access to the best books, audiobooks, magazines, and more. Our mission is to change how the world reads. In 2019 we hit 1M paying subscribers (<a href="). Last year we acquired SlideShare (<a href="). We are one of the oldest YC startups (YC ’06), operating one of the largest Ruby on Rails sites.
Scribd has a very friendly, engineering-driven company culture with competitive salary and great benefits. We are ambitious but at the same time we value a good work life balance. In general we care way more about your personality, communication, and hacking skills than what languages and technologies you’ve used so far.
To learn more, please check out our tech blog and open-source projects at <a href="
We are hiring software engineers and engineering leaders across the board (see <a href="), including:
* Data Engineering manager – help us build the data engineering team and the next generation of our data, ML, and streaming platform: <a href="
* Backend Software Engineer - Notifications: help us build a unified messaging system that optimizes how we engage with our +1.5M subscribers and 100s of millions of visitors every month across all channels in a delightful way <a href="
* Site Reliability Engineer (SRE): join our Core Infrastructure team and work on the foundations of Scribd as we take it into the future. Your experience will influence the direction of our infrastructure to improve observability and automation of our services to help us scale in a performant manner. This is a role that will play a critical part in driving Scribd’s next stage of growth. <a href="
* The Applied Research - Personalization team is looking for a Senior Data Scientist to innovate on representations of our users' behavior and complex interactions with our content, and deliver user models that drive ML product features. This role will have the opportunity to work on Transformers and other state-of-the-art deep learning architectures to extract rich user and user-segment embeddings. <a href="
* Lead Software Engineer Publisher Content Management: The team is responsible for the ingestion, metadata, and publisher payout systems for all Scribd premium content types: <a href="
* The Payments team is looking for mid-level to senior engineers to build smart payment systems. Our mission is to grow revenue with sophisticated, reliable and secure international payments. The Payments team works on exciting projects that cover Product, Infrastructure, Finance. We are in an interesting phase of applying machine learning to optimize authorization rates and personalizing user's payment experience. We are hiring for two positions: <a href=" and <a href="
We have hired many people from these HN threads, including myself (back in 2012!). If you have specific questions you can reach out to me directly at adrian at scribd.com (I'm the Head of Technology and happy to answer questions related to our roles - recruiters/agencies: please do not contact me). Please apply directly via <a href="
Ask HN: Who is hiring? (November 2021)