Senior Staff / Senior Machine Learning Engineer
SciTec
Boulder, CO, US
Remote
2026-06-26
Announced salary
$126,000 - $193,000
Low
$82K
Median
$108K
High
$142K
Market in Boulder · BLS OEWS 2024
Estimated net pay
$7,715 - $11,330
/month · 27% withheld
after tax & contributions · Single, no dependents
Job description
SciTec, 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
**Important Notice**: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec 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.
SciTec 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 InfraRed (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.
**Responsibilitie