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Skyline Scientific Inc

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

Skyline Scientific Inc, Springfield, Virginia, us, 22161

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Overview

JOB TITLE/TYPE: Software Developer/Machine Learning/Algorithm Developer/ On-Site Compensation Range: $110,000.00 - $190,000.00 Location: Springfield, VA, with direct client support at Wright-Patterson AFB. Job Summary

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. 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 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. Why Skyline Scientific?

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. 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. Responsibilities

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, TensorFlow) 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. Required Qualifications

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, image 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. Preferred Qualifications

Experience with

geospatial intelligence (GEOINT), signals intelligence (SIGINT), or electronic warfare (EW) . Familiarity with

deep learning frameworks

(TensorFlow, PyTorch) for NLP and data analysis. Experience in

customizing large language models (LLMs) using Retrieval-Augmented Generation (RAG)

to reduce errors in science-based reporting, or a strong desire to learn. Experience with cloud-based architectures and

big data processing frameworks . Desirable Experience

B.S. degree in STEM 5 - 7 years’ software development or algorithm development for a sensing system Background/knowledge in remote sensing systems and programming languages Compensation

Mid-Level — B.S. in STEM; 5 - 7 years; Compensation Range: $110,000 - $140,000 Senior-Level — B.S. in STEM; Greater than 10 years; Compensation Range: $150,000 - $190,000 Desired Qualifications

ACTIVE Top Secret/SCI with poly Master’s degree in computer engineering, Image Science, Electrical Engineering, or related fields, and 5 years of experience Experience integrating RADAR, LIDAR, and SAR algorithms into pre-existing software suites Expertise with Git products Benefits

Attractive Salary Paid Time Off (PTO): 25 days Medical, Dental & Vision: Employer-Paid Disability & Life Insurance Coverage 401k:15% Employer Match (no contribution required) Profit Sharing Options Compressed Workweek Options Annual Performance Bonus Referral & Incentive Bonus Opportunities Professional Development & Education Assistance Relocation Assistance Options Join Skyline Scientific—Where Innovation Meets Mission. This isn’t a role where you’ll sit idle on a contract—it's an opportunity to design, develop, and deploy advanced software and AI-driven solutions that impact national security. If you're looking for a position where your expertise is valued, your work makes a difference, and you're surrounded by top-tier talent, apply today. Our company is an Equal Employment Opportunity employer. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law. We are committed to creating a diverse and inclusive work environment where all employees are valued and respected.

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