Machine Learning Engineer

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🕒 February 6

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Vannevar Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

💼 Consulting

📦 Logistics

🎖️ Defense

💰 $12M Series A on 2021-08

Consulting • Logistics • Defense

Vannevar Labs is a defense technology company focused on digital intelligence to support non-kinetic missions aimed at deterring and de-escalating conflicts. The company specializes in developing advanced machine learning techniques to ensure access to mission-relevant data, building tools to counter malign influence, and enhancing maritime domain awareness using open-source and targeted data collection techniques. Vannevar Labs is dedicated to quickly iterating with national security partners to meet urgent and dynamic security challenges, positioning its solutions to address the strategic competition for legitimacy and influence in the modern geopolitical landscape.

📋 Description

• 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.

🏖️ Benefits

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