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AI/ML Software Engineer
Location
Ohio
Posted
85 days ago
Salary
$95K - $120K / year
Seniority
Senior
Job Description
AI/ML Software Engineer
Quest Defense
• Design, implement, train, and refine AI/ML models and decision logic for adaptive or generative software applications. • Develop software frameworks, runtime components, APIs, and integration layers to connect AI/ML capabilities with larger system architectures. • Build and maintain training workflows, evaluation harnesses, preprocessing pipelines, and dataset tooling for simulated and operationally relevant environments. • Support model evaluation against technical performance metrics and help analyze results from simulation and test environments. • Containerize software components and prepare runtime packages for automated test and evaluation execution. • Contribute to scalable software architecture, configuration management, experiment tracking, and code quality practices. • Refactor and harden software for production-quality use, including modular design, logging, error handling, documentation, and test coverage. • Support technical reviews, development planning, integration activities, and customer-facing engineering discussions as needed. • Produce technical documentation, including architecture overviews, setup instructions, interface descriptions, deployment guidance, and lessons learned. • Collaborate closely with multidisciplinary teams, including AI/ML engineers, software developers, communications or signal-processing specialists, system architects, and test teams.
Job Requirements
- Bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field.
- Demonstrated hands-on experience in AI/ML software development, including model implementation and deployment.
- Strong proficiency in Python.
- Proficiency in at least one additional programming language, such as C or C++.
- Experience with one or more major ML frameworks such as PyTorch or TensorFlow.
- Experience building software in a structured engineering environment using version control, code review, testing, and sound development practices.
- Experience developing data pipelines, preprocessing workflows, or dataset tooling for complex or sequential data.
- Experience with APIs, containerization, and integration testing.
- Strong written and verbal communication skills and the ability to work effectively in cross-functional technical teams.
- U.S. Person status required.
Benefits
- Competitive pay, comprehensive medical/dental/life and disability coverage, 401(k) with employer match, professional development support, and a flexible, friendly workplace.
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