Machine Learning Engineer

Vannevar is a defense technology company building AI to deter adversaries. The Machine Learning Engineer will drive the development of scalable ML services for enrichment, managing the entire ML lifecycle from model training to deployment in production environments.

Responsibilities:

• Design and build scalable ML services for enrichment workflows, including model training pipelines and high-performance inference APIs
• Deploy and optimize models using modern inference libraries and frameworks (ONNX, vLLM, TensorRT, etc.) to achieve low-latency, high-throughput performance
• Collaborate with software engineers and product teams to define data requirements, feature engineering strategies, and model evaluation metrics
• Build robust monitoring, observability, and evaluation systems to ensure model quality and service reliability in production
• Stay current with emerging ML techniques, tools, and best practices, particularly in areas like model optimization, efficient inference, and large-scale data processing

Requirements:

• 5+ years of experience building and deploying machine learning systems in production environments
• Strong proficiency with model deployment technologies (Kubernetes, Ray, etc.) and inference libraries (ONNX, vLLM, TensorRT, or similar)
• Proficiency with model training frameworks (PyTorch, TensorFlow, Jax)
• You've successfully designed and scaled ML services that process large volumes of data and serve predictions with strict latency and throughput requirements
• Experience with the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring
• Solid software engineering skills, including experience with distributed systems, APIs, and cloud infrastructure
• You have a passion for building reliable, performant ML systems and understand how they create value for end users
• U.S. Person status is required as this position will require the ability to access U.S only data systems