Engineer II - Recommendations

TL;DR

Engineer II - Recommendations (AI Engineering): Developing and refining data-driven recommendations systems to help users connect, interact, and discover content and communities with an accent on processing and transforming large data volumes. Focus on building scalable data pipelines and backend services, and contributing to data-backed personalization for content and experiences.

Location: Remote

Company

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.

What you will do

• Work within a full-stack team to develop, maintain, and optimize scalable data pipelines, backend services, and APIs for data-driven features.
• 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.
• Implement and maintain data processing jobs using big data technologies to handle large-scale datasets.
• Participate in the design and implementation of backend systems including REST and websocket APIs, caching systems, queueing systems, and cloud orchestration.
• 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.

Requirements

• 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.

Nice to have

• Experience building and scaling aspects of content discovery or recommendation systems.
• Demonstrated interest in online communities, VR, or VRChat (as a user or creator).
• Experience with social networks, social graphs, or systems dealing with user-generated content.
• Experience working on consumer products, e-commerce, or two-sided marketplaces.

Culture & Benefits

• Work from anywhere! VRChat is a 100% remote company offering flexible working hours in combination with core hours supporting real-time collaboration
• Health Benefits
• 401K for US & Group RRSP for Canadian Employees
• Stock Options
• Generous paid holiday schedule
• Unlimited/flexible vacation time