2 days ago
San Mateo, CA, USASenior
Base Salary
$243k - $295k/yr
Responsibilities
- Design and own large-scale data engineering and streaming systems for ML, including real-time ingestion, streaming features, training-data generation, and online/offline feature consistency.
- Build online and continual learning systems with incremental training, model updates, embedding and parameter-server synchronization, delayed-feedback pipelines, monitoring, drift detection, and automated rollback.
- Investigate end-to-end tradeoffs across streaming data pipelines, distributed training, low-latency inference, and production serving.
- Optimize cache strategies, pruning, quantization, GPU utilization, memory efficiency, and custom kernels where needed.
- Own the architecture and engineering practices for scalable, reliable, and cost-effective ML infrastructure across training, serving, and feature systems.
- Collaborate with modelers, data and AI infrastructure engineers, ML engineers, platform teams, data scientists, and product stakeholders to build and operate robust ML platforms.
- Stay current with machine learning and infrastructure trends and adopt leading-edge technologies and practices.
Requirements
- At least 5 years of experience designing, building, and deploying large-scale machine learning and data systems in production.
- At least 3 years of experience tech-leading ML infrastructure or data engineering teams.
- Hands-on experience with large-scale streaming and data processing systems and real-time feature pipelines.
- Experience with online, incremental, or continual learning systems for recommendation, ranking, or search is a strong plus.
- Strong communication skills and a collaborative approach to problem solving.
- BS, MS, or PhD in Computer Science, Engineering, or equivalent experience.
Benefits
- Full-time employees are eligible for equity compensation and benefits.
- Office-based roles are onsite Tuesday through Thursday, with optional presence Monday and Friday unless otherwise noted.
Tech Stack
Categories
Data EngineeringML Engineering
About Roblox
Roblox builds a platform for user‑generated 3D experiences, offering Roblox Studio for creators and a social marketplace where players explore and interact across devices. Its business model centers on virtual currency (Robux) and subscriptions, platform fees paid to creators, and an expanding advertising offering. Founded in 2004 and headquartered in San Mateo, California, Roblox Corporation is publicly traded on the NYSE under the ticker RBLX.