Machine Learning Engineer
Core
Building scalable ML services and infrastructure for mission-critical data enrichment, classification, and augmentation in defense workflows.
Role type
Senior Machine Learning Engineer (Production Systems)
Builds
End-to-end ML platform including training pipelines, high-performance inference APIs, and monitoring systems for defense enrichment products.
Domain
Defense technology / AI for national security
Deliverable
production ML models
Required skills
Model deployment (Kubernetes, Ray, ONNX, vLLM, TensorRT), Model training (PyTorch, TensorFlow, Jax), Distributed systems, Cloud infrastructure, Feature engineering, Model evaluation, API design, Data preprocessing
Preferred skills
Large-scale data processing, Low-latency optimization, Emerging ML techniques
Technologies
PyTorch, TensorFlow, Jax, ONNX, vLLM, TensorRT, Kubernetes, Ray
Responsibilities
Design and build scalable ML services for enrichment workflows; Deploy and optimize models for low-latency, high-throughput performance; Collaborate with product teams on data requirements and feature strategies; Build robust monitoring and evaluation systems; Stay current with emerging ML techniques and best practices.
Seniority
Senior, hands-on IC