Machine Learning Engineer

Machine Learning Engineer - Graph ML & Code Intelligence | Denver, CO (Remote & Flexible)

An innovative lab that builds AI-powered developer tools designed to autonomously understand, analyze, and repair complex software systems are looking for a Machine Learning Engineer to join their team.

What You'll Be Doing :

• Own the graph-ML roadmap end-to-end by designing and training modern GNNs and graph transformers, modeling complex technical artifacts as graphs (code, IR, telemetry), and exploring self-supervision, sparsity, and pretraining to enhance retrieval, grounding, and reasoning capabilities
• Fuse graphs with language systems to power retrieval and reasoning primitives, combining graph learning with LLMs / NLP for KG-augmented retrieval, entity linking, and grounding across the product stack
• Build high-performance production infrastructure with distributed GPU training / inference pipelines, low-latency scalable graph services and APIs, efficient sampling and mixed precision optimization, and robust ML / DataOps for large graphs (100M–B+ edges) with versioning, lineage, and CI / CD
• Ensure reliability and performance by benchmarking and hardening sparse+dense kernels, instrumenting for correctness and observability, embedding security, privacy, and compliance by design, and mentoring the team on graph learning best practices

What We're Looking For :

What's In It For Me :

Apply now for immediate consideration!