Engineer, VRChat
Recommendations
Offers stock options
Virtual world platform
Be an early applicant
Virtual world platform
101-200 employees
Be an early applicant
Offers stock options
101-200 employees
Company mission
To build VRChat into one of the most successful community-driven social VR platforms in existence.
Role
Who you are
- If you’re passionate about data engineering and leveraging data to enhance content discovery, this role could be the perfect fit
- 3+ years of experience in software engineering, with a strong focus on data engineering and building scalable backend systems for SaaS products or online platforms
- Proven 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
- Experience with big data technologies such as Spark, Hadoop/Beam, or Kafka
- Experience with cloud providers at scale, such as AWS or Google Cloud
- Able to work in a variety of languages and technologies, such as Python, JavaScript/Node.js, Mongo, and Redis
- Experience with Elasticsearch, data warehousing, and machine learning (ML) systems
- An agile, collaborative mindset and excellent communication skills, capable of working effectively in a remote, cross-functional team environment
Desirable
- Experience building and scaling aspects of content discovery or recommendation systems
- Demonstrated 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
- Experience with social networks, social graphs, or systems dealing with user-generated content
- Experience working on consumer products, e-commerce, or two-sided marketplaces
What the job involves
- 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
- 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-scale datasets
- Contribute 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
- Participate in the design and implementation of backend systems including REST and websocket APIs, caching systems, queueing systems, and cloud orchestration
- Be available to occasionally jump into action to solve an outage
Our take
Virtual Reality is one of the technologies with the highest projected potential for growth. VRChat offers a free-to-play metaverse platform where users gather as avatars in virtual spaces to socialize and hang out, just as one would in real life.
Whilst competitor Rec Room has a greater valuation, VRChat has positioned itself as the leading VR socializing-based product. It taps into a modern desire to form connections in digital spaces, with some users meeting their real-life partners in their virtual avatar form. When contemplating VR’s popularity, it cannot be denied that virtual realities enable freedom of self-expression, an attractive proposition perhaps for those who struggle with their identity and place in the real world.
The company recently announced a 30% workforce reduction, addressing overhiring during its 2021 boom. Despite these layoffs, the company remains focused on long-term growth and capital efficiency, positioning itself for continued success as VR becomes a key part of social connection.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Jun 2021
$80m
SERIES D
Sep 2019
$10m
SERIES C
Total funding: $95.2m
Company benefits
- Work remotely: Work from anywhere! They use collaboration software to stay organized and VRChat for meetings and hanging out.
- Health and wellbeing: Medical, Dental and Vision plans for those in the United States, and extended health plans in British Columbia, Canada.
- Fun: Monthly team dinners, get-togethers and once a year, they travel somewhere fun for a few days to hang out, catch up, brainstorm and have fun.
- Tools: You’ll be provided a powerful PC, high-end VR hardware, and any software you need to make you effective in your role.
- Vacations: Flexible vacation schedules that are encouraged. Most United States and Canadian holidays are observed by everyone on the team.
- Swag: Great VRChat and Developer Team Swag such as hoodies, coffee mugs, t-shirts, sun glasses and even custom 3D printed goodies.
Company HQ
Financial District, San Francisco, CA
Leadership
Graham Gaylor
(Co-Founder & CEO)Interned at SmartVault, RSM Design, Equivalent DATA, and Seismic Exchange, before spending time at ChaiONE as an iOS Developer at at Zynga as a Software Engineer.
Jesse Joudrey
(Co-Founder & CTO)Owner and CTO at Jespionage Entertainment. Began as a Software Engineer for Electronic Arts Canada before co-founding and serving as CTO for A.C.R.O.N.Y.M Games Inc.
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