Senior ML Infra Engineer, Real-Time Matchmaking

Roblox Corporation; San Mateo (CA); On-site; USD 243,000 - 295,000; Full time

Job summary

Roblox Corporation is seeking a Senior Machine Learning Infrastructure Engineer for its Matchmaking team. You will design, build, and operate scalable ML infrastructure that powers billions of in-game scoring events and real-time features.

In this role you’ll work with Kafka, Flink, Spark, and Ray to create low-latency data pipelines, online learning flows, and robust production systems. Collaborate with data scientists and platform teams to accelerate model development and deployment.

Qualifications

• 5+ years designing, building, and deploying large-scale ML and data systems in production.
• 3+ years tech-leading ML infrastructure or data engineering teams.
• Hands-on experience with large-scale streaming and data processing systems (e.g., Kafka, Flink, Spark, Beam) and real-time feature pipelines.
• Experience building or operating online, incremental, or continual learning systems for recommendation, ranking, or search is a strong plus.
• BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience.

Responsibilities

• Work at the intersection of model architecture and ML infrastructure, partnering with modelers and data/AI infra engineers to push large-scale training and serving boundaries.
• Design and own large-scale data engineering and streaming systems powering ML, including real-time event ingestion, streaming feature computation, and data quality guarantees.
• Build online and continual learning systems that adapt to user behavior and content shifts in near real time, including model updates and safe deployment.
• Investigate model, data, and systems tradeoffs end to end, including caching, pruning, quantization, GPU utilization, and custom kernels.
• Own architecture and engineering best practices for scalability, reliability, and cost-effectiveness of ML infrastructure (training, serving, feature).
• Collaborate with data scientists, ML engineers, platform teams, and product stakeholders to design, implement, and operate robust ML platforms.
• Stay abreast of industry trends in ML and infrastructure to adopt leading-edge technologies and practices.

Skills

Large-scale ML systems

Streaming data pipelines

Low-latency inference

ML infrastructure ownership

Education

BS/MS/PhD in CS/Engineering

Tools

Kafka

Flink

Spark Structured Streaming

Ray

Redis

Feast

Tecton

Cassandra

Job description

Roblox Corporation is seeking a Senior Machine Learning Infrastructure Engineer for its Matchmaking team. You will design, build, and operate scalable ML infrastructure that powers billions of in-game scoring events and real-time features.

In this role you’ll work with Kafka, Flink, Spark, and Ray to create low-latency data pipelines, online learning flows, and robust production systems. Collaborate with data scientists and platform teams to accelerate model development and deployment.