As a Machine Learning Platform Engineer you will build the next generation of ML Ecosystem Tooling. You will have an impact on the Roblox platform and the industry—providing our developers and creators alike the ability to go from an ML idea to production in weeks or less. We are looking for accomplished ML and Systems Engineers who want to build large-scale ML systems from the ground up.

You Are:

• Passionate about pushing the technological envelope and venturing into the unknown.
• 3+ years of professional experience working with scalable, distributed systems.
• Well versed with the Model Development Lifecycle from initial ad hoc analysis in notebooks to monitored services in production and back again.
• Have deployed and maintained an ML model in production, ideally at scale.
• Experience with developing ML Platform features that are a delight for MLEs and Data Scientists
• Ideally have experience with GPUs - reading GPU profiles, debugging CUDA kernels, optimizing GPU workloads
• Ideally have experience with large-scale distributed training (e.g. across hundreds of GPUs for multiple weeks) 
• Understand best practices around Data and Model management
• Ideally understand intricacies around unstructured data vs structured data and understand how to optimize data loading into training jobs
• Bachelor's degree in Computer Science, Computer Engineering, Data Science or a similar technical field.

You Will:

• Develop the service APIs for ML Infrastructure components--Serving Layer, Metadata Store, Model Registry, Feature Store, and Pipeline Orchestrator.
• Work directly with partner teams to identify opportunities for model optimization.
• Partner across organizations to build tooling, interfaces, and visualizations that make the ML@Roblox a delight to use.
• Have an impact to the state of the Roblox platform, and the industry, to the next level of managed E2E ML Pipeline Development and Automation
• Provide our developers and creators alike the ability to go from an ML idea to production in weeks or less.
• Have an impact as a part of the team that is building a platform to handle the thousands of model experiments per day needed to support everything from ranking and recommendations, through content moderation and fraud prevention, to studio creative tooling.