Member of Technical Staff - ML Infra
Core
Design, deploy, and maintain large distributed ML training and inference clusters; develop scalable pipelines for petabyte-scale datasets and model training.
Role type
Senior IC ML Infrastructure Engineer
Builds
Distributed ML training and inference clusters, scalable data pipelines, and model serving architectures
Domain
Cloud Infrastructure, Machine Learning Systems
Deliverable
production ML models
Required skills
Distributed training frameworks (FSDP, DeepSpeed), Cloud platforms (GCP, AWS, Azure), Containerization and orchestration (Kubernetes, Docker), GPU operations optimization, Scalable model serving architectures, Monitoring and observability
Preferred skills
Research on parallelization techniques, Numerical precision trade-offs, Distributed task management systems
Technologies
FSDP, DeepSpeed, Kubernetes, Docker, GCP, AWS, Azure
Responsibilities
Design and maintain distributed ML clusters, Develop end-to-end data and training pipelines, Research and test training approaches, Profile and debug low-level GPU operations, Integrate new research ideas into production
Seniority
Senior, hands-on IC
