Build scalable, reliable, and high-performance infrastructure that powers ML systems across Roblox, operating at the scales of tens of billions of scorings and redefining how millions of users are matched to games.
- Work at the intersection of model architecture and ML infrastructure, partnering closely with core modelers, data and AI infrastructure engineers, and product teams to push the boundaries of large-scale training and serving.
- Design and own large-scale data engineering and streaming systems that power ML, including real-time event ingestion, streaming feature computation, training-data generation, and data quality and freshness guarantees.
- Build online and continual learning systems that let models adapt to user behavior and content shifts in near real time.
- Investigate model, data, and systems tradeoffs end to end, from streaming data pipelines and distributed training to low-latency inference and production serving.
- Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure.
- BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience
Senior Machine Learning Infrastructure Engineer, MatchmakingRoblox · San Mateo, US