{"schemaVersion":"jobsearcher.job.v1","id":"b43d62ff4a052dcfa592ef75","url":"https://jobsearcher.com/jobs/b43d62ff4a052dcfa592ef75","canonicalUrl":"https://jobsearcher.com/jobs/b43d62ff4a052dcfa592ef75","title":"Engineer II - Recommendations","description":"Join the VRChat Team!\nVRChat 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.\nWe 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!\n\nOverview\nWe’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.\n\nWhat You\\'ll Do\nWork 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.\nDesign and implement data models and schemas that support both analytical needs and real-time recommendation systems.\nCollaborate with data scientists, product managers, and other engineers to ensure the correct data is captured, processed, and available to power meaningful user experiences.\nImplement and maintain data processing jobs using big data technologies (e.g., Spark, Kafka) to handle large-scale datasets.\nContribute to the evolution of our technical and product capabilities, helping to progress from simple heuristics to more sophisticated, data-backed personalization for content and experiences.\nParticipate in the design and implementation of backend systems including REST and websocket APIs, caching systems, queueing systems, and cloud orchestration.\nBe available to occasionally jump into action to solve an outage.\n\nQualifications\n3+ years of experience in software engineering, with a strong focus on data engineering and building scalable backend systems for SaaS products or online platforms.\nProven experience building and optimizing production-grade data pipelines (ETL/ELT).Strong proficiency in SQL and experience with database optimization for both analytical queries and high-throughput real-time access.\nExperience with big data technologies such as Spark, Hadoop/Beam, or Kafka.\nExperience with cloud providers at scale, such as AWS or Google Cloud.\nAble to work in a variety of languages and technologies, such as Python, JavaScript/Node.js, Mongo, and Redis.\nExperience with Elasticsearch, data warehousing, and machine learning (ML) systems.\nAn agile, collaborative mindset and excellent communication skills, capable of working effectively in a remote, cross-functional team environment.\n\nBonus Points\nExperience building and scaling aspects of content discovery or recommendation systems.\nDemonstrated interest in online communities, VR, or VRChat (as a user or creator). Knowing how our platform and community works will be helpful for this role.\nExperience with social networks, social graphs, or systems dealing with user-generated content.\nExperience working on consumer products, e-commerce, or two-sided marketplaces.\n\nBenefits\nWork from anywhere! VRChat is a 100% remote company offering flexible working hours in combination with core hours supporting real-time collaboration\nHealth Benefits\n401K for US & Group RRSP for Canadian Employees\nStock Options\nGenerous paid holiday schedule\nUnlimited/flexible vacation time\nPaid parental leave benefits\n\nVRChat is an equal-opportunity employer, and we welcome applicants from all backgrounds. VRChat fosters a diverse, creative, and collaborative environment where anyone can contribute to any of the ongoing projects or direction of the roadmap at any time. If you’re a passionate team player who wants to have an impact on a dynamic team, we’d love to hear from you!\nAll job offers are subject to satisfactory referencing and background checks.\n\n#J-18808-Ljbffr","company":"Makers Fund","rawCompany":"makers fund","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-05-22T12:32:46.740Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Engineer II - Recommendations","description":"Join the VRChat Team!\nVRChat 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.\nWe 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!\n\nOverview\nWe’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.\n\nWhat You\\'ll Do\nWork 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.\nDesign and implement data models and schemas that support both analytical needs and real-time recommendation systems.\nCollaborate with data scientists, product managers, and other engineers to ensure the correct data is captured, processed, and available to power meaningful user experiences.\nImplement and maintain data processing jobs using big data technologies (e.g., Spark, Kafka) to handle large-scale datasets.\nContribute to the evolution of our technical and product capabilities, helping to progress from simple heuristics to more sophisticated, data-backed personalization for content and experiences.\nParticipate in the design and implementation of backend systems including REST and websocket APIs, caching systems, queueing systems, and cloud orchestration.\nBe available to occasionally jump into action to solve an outage.\n\nQualifications\n3+ years of experience in software engineering, with a strong focus on data engineering and building scalable backend systems for SaaS products or online platforms.\nProven experience building and optimizing production-grade data pipelines (ETL/ELT).Strong proficiency in SQL and experience with database optimization for both analytical queries and high-throughput real-time access.\nExperience with big data technologies such as Spark, Hadoop/Beam, or Kafka.\nExperience with cloud providers at scale, such as AWS or Google Cloud.\nAble to work in a variety of languages and technologies, such as Python, JavaScript/Node.js, Mongo, and Redis.\nExperience with Elasticsearch, data warehousing, and machine learning (ML) systems.\nAn agile, collaborative mindset and excellent communication skills, capable of working effectively in a remote, cross-functional team environment.\n\nBonus Points\nExperience building and scaling aspects of content discovery or recommendation systems.\nDemonstrated interest in online communities, VR, or VRChat (as a user or creator). Knowing how our platform and community works will be helpful for this role.\nExperience with social networks, social graphs, or systems dealing with user-generated content.\nExperience working on consumer products, e-commerce, or two-sided marketplaces.\n\nBenefits\nWork from anywhere! VRChat is a 100% remote company offering flexible working hours in combination with core hours supporting real-time collaboration\nHealth Benefits\n401K for US & Group RRSP for Canadian Employees\nStock Options\nGenerous paid holiday schedule\nUnlimited/flexible vacation time\nPaid parental leave benefits\n\nVRChat is an equal-opportunity employer, and we welcome applicants from all backgrounds. VRChat fosters a diverse, creative, and collaborative environment where anyone can contribute to any of the ongoing projects or direction of the roadmap at any time. If you’re a passionate team player who wants to have an impact on a dynamic team, we’d love to hear from you!\nAll job offers are subject to satisfactory referencing and background checks.\n\n#J-18808-Ljbffr","datePosted":"2026-05-22T12:32:46.740Z","dateModified":"2026-05-22T12:32:46.740Z","hiringOrganization":{"@type":"Organization","name":"Makers Fund","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b43d62ff4a052dcfa592ef75"},"url":"https://jobsearcher.com/jobs/b43d62ff4a052dcfa592ef75"}}