Machine Learning Engineer

About the Company

Vannevar is a defense technology company building AI to deter our adversaries. Our agentic AI is purpose-built to compete in high-stakes environments, modeling adversary behavior and simulating campaigns to support decision makers.

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.)
• 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

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)
• Experience designing and scaling ML services that process large volumes of data with strict latency requirements
• Experience with the full ML lifecycle: preprocessing, feature engineering, training, evaluation, deployment, and monitoring
• Solid software engineering skills in distributed systems, APIs, and cloud infrastructure
• U.S. Person status is required

Benefits

• Health, dental, and vision insurance
• Remote friendly with WeWork access
• Unlimited PTO and company-wide off time
• 401(k) match
• Lifestyle & wellbeing stipends
• Salary top-up during military reserve duty
• Fully paid parental leave
• Child and pet care reimbursement during travel