Engineer II - Recommendations

Join the VRChat Team! VRChat offers a first-of-its-kind, game-changing platform that provides an endless collection of social VR experiences and gives the power of creation to its robust community. With over 250,000 worlds and growing, VRChat ’s vision is to allow users to bring their imaginations to life and help shape the metaverse anywhere in the world on any device. VRChat has raised $100M to date with the support of investors, Makers Fund, Anthos Capital and HTC. We have a great team which includes people from: Netflix, Twitter, Meta, Microsoft, Roblox, Google, Amazon, Unity, Spotify, Discord, Uber, eBay, Robinhood, Twitch, Zynga and TikTok. Come and join the mission! Job Overview We’re looking for a data / ML engineer to join our Social Experience team. You will be instrumental in developing and refining the data-driven recommendations systems that help our users connect, interact, and discover content and communities. This role involves working with AWS, Python/FastAPI, Node.js, and Snowflake to build, train, and operationalize personalization systems. You will be instrumental in processing and transforming the large volumes of data generated by our platform to create meaningful user experiences. If you’re passionate about data engineering and leveraging data to enhance content discovery, this role could be the perfect fit. What You'll Do Work within a full-stack team of engineers to develop, maintain, and optimize scalable data pipelines, backend services, and APIs for data-driven features like recommendations, content discovery, groups, and events in VRChat . Design and implement data models and schemas that support both analytical needs and real-time recommendation systems. Collaborate with data scientists, product managers, and other engineers to ensure the correct data is captured, processed, and available to power meaningful user experiences. Implement and maintain data processing jobs using big data technologies (e.g., Spark, Kafka) to handle large-sca