Principal Machine Learning Engineer - Graph ML & Code Intelligence
Core
Founding Principal ML Engineer building graph-native models and pipelines to analyze billions of edges in software systems (code/IR) and fuse them with LLMs for Fortune-scale customers.
Role type
Principal Machine Learning Engineer (Graph ML & Code Intelligence)
Builds
Graph learning models, high-throughput training/inference pipelines, low-latency graph services and APIs
Domain
Software engineering, Graph Neural Networks, Large Language Models
Deliverable
production ML models
Required skills
GNNs/geometric DL, graph theory, C++/CUDA, distributed GPU training, LLM/NLP fusion, systems optimization, data/feature store management, ML/DataOps
Preferred skills
Self-supervised learning, sparse/dense kernel optimization, security/privacy by design
Technologies
GNNs, graph transformers, LLMs, C++, CUDA, distributed GPUs
Responsibilities
Design and train modern GNNs/graph transformers; build high-performance training/inference pipelines; fuse graphs with language systems; ship low-latency graph services; establish ML/DataOps and mentor the team
Seniority
Principal, founding IC with strategy & mentorship
