Senior Machine Learning Infrastructure Engineer (Matchmaking)

Location: San Mateo, CA, United States; onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday for office-based roles.

Annual base salary: $243,290–$295,250 USD. Full-time employees are also eligible for equity compensation and benefits.

Company

Roblox builds a platform and tools for developers and creators to create 3D immersive digital experiences and connect users at scale.

What you will do

• Build scalable, reliable, high-performance ML infrastructure for matchmaking across tens of billions of scorings, hundreds of millions of users, and millions of games.
• Design large-scale data engineering and streaming systems for real-time event ingestion, feature computation, training-data generation, and data quality and freshness.
• Build online and continual learning systems with incremental training, model updates, embedding and parameter-server synchronization, label-joining pipelines, monitoring, drift detection, and automated rollback.
• Investigate end-to-end tradeoffs across streaming pipelines, distributed training, low-latency inference, and production serving, including caching, pruning, quantization, GPU utilization, memory efficiency, and custom kernels.
• Own the architecture and engineering practices for scalable, reliable, and cost-effective training, serving, and feature infrastructure, using low-latency key-value stores and feature registries.
• Collaborate with data scientists, ML engineers, platform teams, infrastructure engineers, and product stakeholders to design, implement, and operate ML platforms.

Requirements

• 5+ years of experience designing, building, and deploying large-scale machine learning and data systems in production.
• 3+ years of experience tech-leading ML infrastructure or data engineering teams.
• Hands-on experience with large-scale streaming and data processing systems such as Kafka, Flink, Spark, or Beam, plus real-time feature pipelines.
• Strong communication skills and a collaborative approach to problem solving.
• BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience.

Nice to have

• Experience building or operating online, incremental, or continual learning systems for recommendation, ranking, or search.

Culture & Benefits

• Full-time employment with equity compensation and company benefits.
• Work in a product environment focused on large-scale human interaction, safety, and civil shared experiences.
• Office-based roles follow a hybrid attendance pattern with required presence Tuesday through Thursday and optional presence Monday and Friday.
• The company provides equal employment opportunities and reasonable accommodations during the recruiting process.
• For US-based roles, Roblox may be unable to employ candidates with certain US visa-related work authorizations and may not support future H-1B sponsorship.