Staff Machine Learning Engineer
Core
Own AI-driven products end-to-end, building trusted decision-ready AI systems for high-stakes organizations.
Role type
Staff Machine Learning Engineer (LLMs & Agentic Systems)
Builds
Distributed agentic systems, LLM pipelines, and production inference services for critical decision-making.
Domain
Defense & Intelligence / Large Language Models & Agentic AI
Deliverable
production ML models
Required skills
LLMs and agentic systems, distributed systems, data structures and algorithms, Python, ML toolkit (PyTorch), evaluation harnesses
Preferred skills
Knowledge graphs, information retrieval at scale, LLM fine-tuning and post-training
Technologies
Triton, vLLM, GPU-backed serving, PyTorch
Responsibilities
Set technical and product direction for LLM and agentic systems; Design and build distributed agentic systems at company-wide scale; Transform real-world data into trustworthy signals for agents; Deploy and operate low-latency, high-concurrency inference; Build evaluation frameworks and labeled-data flywheels; Partner with cross-functional teams to drive technical roadmap; Raise engineering standards with better patterns and practices
Seniority
Staff, hands-on IC with strategic impact