Senior Software Engineer (Machine Learning) - Economy ML

Location: San Mateo, CA, United States. Hybrid office schedule: onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.

Annual base salary: $243,290–$295,250 USD.

Company

Roblox builds a platform and tools for creating and experiencing 3D immersive digital experiences, including virtual economy products for users, creators, and developers.

What you will do

• Build and operate distributed training infrastructure, data-loading systems, and reproducible pipelines for ranking, recommendation, and pricing models.
• Co-design and optimize model training and inference, including GPU utilization, memory, throughput, latency, batching, mixed precision, and feature processing.
• Design backend services and APIs that integrate model predictions into Marketplace, Payments, and Developer Monetization with latency budgets and graceful fallbacks.
• Build batch and real-time data and feature pipelines focused on freshness, correctness, and training/serving consistency.
• Own model packaging, deployment, versioning, shadow and canary rollouts, and A/B experiment integration.
• Improve reliability and observability, contribute to the ML infrastructure roadmap, collaborate with platform and backend teams, and mentor engineers.

Requirements

• 5+ years of software engineering experience, including 2+ years building and operating ML infrastructure or ML-backed production services at high scale.
• Strong Python skills and proficiency in at least one other backend language, with experience designing and operating distributed, low-latency services.
• Production experience training and serving deep learning models with PyTorch, including multi-GPU and multi-node training and GPU inference deployment.
• Experience profiling and optimizing utilization, memory, latency, and cost.
• Experience building batch and streaming data pipelines and feature stores, such as Spark, Flink, or Kafka, with attention to data quality and training/serving skew.
• Ability to operate production systems, including monitoring, alerting, debugging, and incident response.
• Ability to collaborate with ML engineers, platform teams, product managers, and data scientists across Marketplace, Payments, and Developer Monetization.
• Understanding of how latency, freshness, and cost affect model quality and product metrics.
• BS, MS, or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Nice to have

• Experience with recommendation, search, or ads systems.

Culture & Benefits

• Full-time employees are eligible for equity compensation and benefits.
• Work includes collaboration with central ML platform, data infrastructure, Marketplace, Payments, and Developer Monetization teams.
• Equal employment opportunities and reasonable accommodations are provided during the recruiting process.