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SciTec

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Senior Staff / Senior Machine Learning Engineer

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.

Responsibilities

  • 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

  • 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

Benefits

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

The pay range for this position is $127,000 - $193,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.

SciTec is proud to be an Equal Opportunity employer. VET/Disabled

#ND123

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What this application asks

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First name, Last name, Email, Phone, Address, Education, Experience, Summary, Resume, Cover letter

  • This position requires the ability to obtain and maintain a DoD security clearance, including the ability to demonstrate United States citizenship and pass a background check. Are you a United States citizen? yes / no
  • This is an onsite position in Boulder, CO. Are you able to work on site in Boulder, Colorado? yes / no
  • Do you have an active DoD security clearance? yes / no
  • If you currently have a DoD security clearance, what level of security clearance do you maintain?
  • Do you have a Bachelors Degree in a physical science, mathematics, engineering or computer science? yes / no
  • What is your degree in? written answer
  • Which Python libraries have you utilize for machine learning? written answer
  • I will complete the EEO forms listed on the following page. As a Federal Contractor, SciTec is subject to reporting this information by law. Information collected in these questions is not used in any applicant’s consideration for employment. yes / no
  • I authorize investigation of all statements contained in this application for employment as may be necessary in arriving at an employment decision. I hereby understand and acknowledge that, unless otherwise defined by applicable law, any employment relationship with this organization is of an "at will" nature, which means that the Employee may resign at any time and the Employer may discharge Employee at any time with or without cause. It is further understood that this "at will" employment relationship may not be changed by any written document or by conduct unless such change is specifically acknowledged in writing by an authorized executive of this organization. In the event of employment, I understand that false or misleading information given in my application or interview(s) may result in discharge. I understand, also, that I am required to abide by all rules and regulations of the employer. yes / no

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