Software Developer​/Machine Learning​/Algorithm Developer On-Site; Springfield, VA

JOB TITLE/TYPE:

Software Developer/Machine Learning/Algorithm Developer/ On-Site

$ - $

Are you looking for more than just a seat on a contract? Are you tired of big-box defense contractors where your contributions get lost in layers of bureaucracy? At Skyline Scientific, your skills will shape the future. At Skyline Scientific, we develop custom, high-impact software solutions for the intelligence and defense communities. Our engineers build mission-critical tools, combining advanced software development, high-performance computing, and AI-driven analytics to solve real-world remote sensing, OPIR, and dynamic sensor challenges.

We offer top-tier benefits, an entrepreneurial culture, and a tight-knit team of experts who are passionate about their craft. If you’re looking for real engineering challenges, supportive leadership, and the ability to make a direct impact, this is the place for you. This job opportunity is around Springfield, VA, and entails direct support to clients at Wright-Patterson AFB. Join us to witness how your technical skills can directly impact our industry.

This position is contingent upon the successful award of the contract.

• Mission-Focused Work: We solve hard problems in remote sensing, AI-enhanced analytics, and sensor fusion
  —our work directly impacts national security.
• Industry-Leading Benefits:
  15% 401(k) match (no contribution required), and employer-paid healthcare
  —one of the best packages in the industry.
• Custom Solutions, Not Cookie-Cutter Code: We build AI-enhanced software for electro-optical, infrared, OPIR, SAR, and dynamic sensor applications.
• High-Performing Team: Collaborate with AI/ML experts, algorithm engineers, and sensor specialists to develop cutting-edge software
  .
• Opportunities to Innovate: Our engineers don’t just write code—they research, design, and deploy groundbreaking AI/ML and sensing algorithms
  .

• Develop custom, high-performance software solutions for remote sensing and AI-enhanced analytics applications.
• Implement AI/ML-driven analytics
  , including LLMs, Retrieval-Augmented Generation (RAG), and NLP models to improve science-based reporting and automation.
• Design, test, and optimize signal processing, image processing, and remote sensing algorithms
  .
• Perform analytics research on EO/IR, OPIR, SAR, LIDAR, and dynamic sensor data
  .
• Train and fine-tune deep learning models (PyTorch, Tensor Flow) for object detection, classification, and feature extraction
  .
• Integrate AI-enhanced tools into operational workflows for automated technical reporting, trend analysis, and sensor data analytics
  .
• Develop deployable software tools in C/C++ and Python
  , ensuring real-world usability.
• Optimize algorithm performance based on well-defined metrics
  .
• Collaborate with analysts and engineers to integrate software solutions into operational workflows
  .
• Deliver technical briefings, white papers, and presentations on AI, algorithm performance, and data analytics results.

• ACTIVE Top Secret/SCI
• Bachelor’s degree in computer engineering, image science, electrical engineering, or related fields and at least 5 years of experience
• Strong understanding of first-principles physics and its application to real-world problems.
• Experience in AI/ML development
  , particularly in text analysis, data extraction, or automated reporting.
• Ability to develop and implement algorithms for remote sensing, signal processing, i
  mage processing
  , or sensor analytics.
• Experience with remote sensing, image processing, and/or digital signal processing
• Experience in testing and integrating algorithms into a deployable software package
• Collaborate with analysts and engineers to integrate software solutions into operational workflows.
• Ensure software security and compliance with IC requirements.
• Proficiency in C/C++ and Python for software development and data analysis.

• Experience with geospatial intelligence (GEOINT), signals intelligence (SIGINT), or electronic warfare (EW).
• Familiarity with deep learning frameworks (Tensor Flow, PyTorch) for NLP and data analysis.
• Experience in customizing large language models (LLMs)…