Senior​/Senior Machine Learning Engineer

Sci Tec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non‑traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty‑five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world‑class data exploitation capabilities supporting missile.

Sci Tec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. Sci Tec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered.

Sci Tec has an immediate opportunity for a talented Machine Learning & AI Engineer to support our programs delivering Next‑Generation Missile Warning software. This is a unique opportunity to join a small business delivering core capabilities for national defense. You will work within a fast‑paced team developing end‑to‑end machine learning and analytics pipelines for Overhead Persistent Infra Red (OPIR) sensor data supporting Missile Warning, Missile Defense, Battlespace Awareness, and Technical Intelligence.

We are seeking a Staff/Senior Staff Machine Learning & AI Engineer to design, train, and optimize high‑performance ML models and algorithms that enhance remote sensor data exploitation and analysis. This role focuses on hands‑on algorithm development, model optimization, and integration into production software systems running on Linux.

The ideal candidate is a strong individual contributor with deep experience in machine learning, high‑throughput data processing, and applied algorithmic development. Success in this role requires technical curiosity, rigorous engineering practices, and the ability to collaborate effectively within a highly technical, Agile team.

• Develop and implement machine learning, deep learning, and AI algorithms for remote sensor data exploitation
• Design, train, and optimize models supporting image analysis, detection, tracking, and multi‑modal sensor fusion
• Deploy high‑performance inference pipelines for large‑volume, real‑time or near‑real‑time data processing
• Collaborate closely with C++ and system‑level engineers to integrate ML/AI solutions into existing software frameworks
• Apply strong software engineering practices to ensure model reproducibility, performance, and maintainability
• Work as part of an Agile team and contribute to shared tools, workflows, and documentation
• Other duties as assigned

• A Bachelor’s degree in the physical sciences, mathematics, engineering, computer science, or a related field (Additional years of education may be substituted for years of professional experience)
• At least five years of professional experience in machine learning, AI engineering, or applied algorithm development
• At least three years of experience working in Linux environments
• Proficiency with Python and common ML frameworks (e.g., PyTorch, Tensor Flow, scikit‑learn)
• Strong understanding of data structures, numerical methods, and algorithm design
• Experience optimizing models and pipelines for high‑data‑throughput processing
• Feature engineering and statistical tests, such as Mutual Information and Shapley Analysis
• Detail oriented with strong problem‑solving skills
• Good verbal and written communication skills
• Ability to work full‑time in‑person at the Boulder, CO office location
• Ability to obtain and maintain a DoD security clearance

• Experience with GPU programming and acceleration (CUDA, cuDNN, TensorRT, ROCm, etc.)
• Direct experience applying ML/AI techniques to OPIR, E/O, SAR, Spectral, RF, or other remotely sensed data
• Strong understanding of modern software engineering principles, including object‑oriented design and SOLID principles
• Experience with production deployment of ML models, MLOps pipelines, or real‑time inference systems
• Familiarity with C++17/20/23, especially for model integration or high‑performance compute components
• Advanced degree (MS or PhD) in the…