Member of Technical Staff | ML Systems
Core
Build reliable, governed ML infrastructure and tools that enable researchers to ship reproducible models at scale.
Role type
Senior IC ML Systems Engineer (Platform)
Builds
Internal ML platform, distributed training libraries, experiment tracking, model registry, and release governance tools.
Domain
Machine Learning Systems, Distributed Computing, Data Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, CUDA, distributed training, graph neural networks, columnar data formats, experiment tracking, model registry, release governance
Preferred skills
GPU performance optimization, multi-cloud GPU compute, regulated environment experience
Technologies
CUDA, Ray, PyTorch, Lance, Arrow, CSR/CSC
Responsibilities
Build CUDA kernels and compute primitives for GNNs; evolve distributed training libraries; define data formats and materialization; manage model registry and lineage; enforce release gates and audit trails.
Seniority
Senior, hands-on IC