Striveworks

Build and deploy machine learning systems that monitor, assure, and sustain real-world AI deployments for government and enterprise customers. This Austin-based hybrid role combines hands-on modeling and data engineering with customer-facing field work and product influence.

Build and operationalize machine learning models, data pipelines, and AI capabilities for customer-driven national security and business solutions. This hybrid/on-site Austin role combines software engineering, data science, product development, and mission-critical customer fieldwork.

Own and improve mission-critical software deployments across Kubernetes, cloud, on-premises, and classified environments. This senior role combines infrastructure automation, reliability engineering, customer implementation, and incident response in support of national security and commercial clients.

Lead the design and delivery of mission-critical machine learning solutions from data ingestion through production deployment while serving as a hands-on technical and customer-facing leader. This remote or Austin-based role combines advanced ML engineering, team leadership, and fieldwork supporting complex national security and business challenges.

Build and guide scalable software for Chariot, Striveworks’ platform for deploying and maintaining production machine learning models. This senior role combines Go and Python development, cloud-native architecture, DevOps, and technical leadership.

Lead the design and delivery of mission-critical machine learning systems, from data pipelines and algorithms to customer-facing production solutions. This staff-level role blends hands-on engineering, technical leadership, team mentorship, and fieldwork supporting national security and business missions.