3mo ago
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Senior Staff / Senior Machine Learning Engineer

United StatesUnited States·Bouldersenior
Machine Learning EngineerData
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Quick Summary

Overview

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.

Technical Tools
Machine Learning EngineerData

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

Responsibilities

~1 min read
  • →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

Requirements

~2 min read
  • 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, TensorFlow, 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

Preferred Qualifications

  • 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 physical sciences, mathematics, engineering, computer science, or a related discipline
  • Professional fluency in one or more additional languages: Python, Rust, or C++
  • Prior experience in Agile software development environments
  • A current active DoD SECRET clearance or higher

What We Offer

~1 min read

SciTec offers a highly competitive salary and benefits package, including:

✓4% Safe Harbor 401(k) match
✓100% company paid HSA Medical insurance, with a choice of 2 buy-up options
✓80% company paid Dental insurance
✓100% company paid Vision insurance
✓100% company paid Life insurance
✓100% company paid Long-term Disability insurance
✓100% company paid Hospital Indemnity insurance
✓Voluntary Accident and Critical Illness insurance
✓Short-term Disability insurance
✓Annual Profit-Sharing Plan
✓Discretionary Performance Bonus
✓Paid Parental Leave
✓Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
✓Flexible Work Hours

Location & Eligibility

Where is the job
Boulder, United States
On-site at the office

Listing Details

Posted
June 25, 2026
First seen
September 28, 2026
Last seen
September 28, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
22%
Scored at
September 28, 2026

Signal breakdown

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Senior Staff / Senior Machine Learning Engineer