Applied AI Engineer — Defense-Grade ML & Edge Deployment

Chaos, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 170,000; Full time

Benefits offered by this job

Health benefits

401k match

FSA

HSA

Life insurance

Free daily lunch

No meeting Fridays

Unlimited PTO

Casual dress code

Relocation assistance

Annual bonuses

Job summary

CHAOS Industries seeks a highly motivated Applied AI Engineer to develop, integrate, and deploy AI/ML-powered capabilities across our product lines. Work with data scientists, software engineers, and mission stakeholders to turn research into reliable software for defense applications requiring extreme accuracy.

You will build production-quality AI systems, integrate models, and ensure robustness in adversarial and constrained environments, with travel 10-20% and on-site SF collaboration 2–4

Qualifications

• BS/MS in Computer Science, Engineering, Machine Learning, Applied Mathematics, Physics, or a related field.
• 2+ years of professional software development experience.
• Experience with AI/ML model integration, model serving infrastructure, or model lifecycle management.
• Familiarity with APIs, distributed systems, containers, CI/CD, observability, and edge deployment environments/GPU optimization.
• Willingness to travel 10–20% and work on-site at our San Francisco office 2 days per week (4 days preferred).

Responsibilities

• Build applied AI systems across CHAOS product lines, including model integration, inference services, evaluation pipelines, and production-facing capabilities.
• Research and productize AI by collaborating with product and mission teams to collect data, verify hypotheses, and create robust models.
• Evaluate model performance in real-world conditions, including adversarial or low-resource environments.
• Develop production-quality data pipelines for acquisition, model serving, monitoring, lifecycle management, and integration.
• Create rapid prototypes with stakeholders and iterate toward production-ready implementations.
• Contribute to AI system reliability via testing, benchmarking, observability, and performance optimization.
• Learn from existing codebases and domain experts to drive execution.
• Manage time effectively across meetings, technical discovery, implementation, experimentation, and production support.

Education

BS/MS in Computer Science, Engineering, Machine Learning, Applied Mathematics, Physics, or related field

Tools

APIs

Distributed systems

Containers

CI/CD

Observability

Job description

CHAOS Industries seeks a highly motivated Applied AI Engineer to develop, integrate, and deploy AI/ML-powered capabilities across our product lines. Work with data scientists, software engineers, and mission stakeholders to turn research into reliable software for defense applications requiring extreme accuracy.

You will build production-quality AI systems, integrate models, and ensure robustness in adversarial and constrained environments, with travel 10-20% and on-site SF collaboration 2–4