AI/ML Software Engineer
Job TypeDirect Hire
Compensation$135000 - $180000 / yr
Role Snapshot
CompanyConfidential Employer
LocationSarasota, Florida, USA
IndustryDefense
Compensation$135,000 - $180,000 per year
Employment TypeFull Time/Direct Hire
Remote StatusNo Remote
Total Openings1
Work Experience2 - 10 years
Opportunity
Step into a role where your machine learning expertise directly shapes national security outcomes. A confidential employer in Sarasota, Florida, is seeking an AI/ML Software Engineer to build advanced models that process signals intelligence and drive autonomous decision-making for the Department of Defense. This full-time, direct-hire position offers top compensation, full relocation, and the rare opportunity to apply cutting-edge AI to real-world defense systems.
Your work will focus on designing and deploying machine learning solutions that analyze massive streams of time-series data from SIGINT sensor systems. You will develop models that detect patterns, flag anomalies, and characterize events—turning raw data into actionable intelligence. By integrating your models into enterprise architectures, you will directly enable faster, more accurate decisions in dynamic environments where every second matters.
The engineer who thrives here holds an active TS/SCI clearance and a bachelor's degree in a relevant field. You bring at least one year of hands-on ML experience (three to five years preferred) and are fluent with modern libraries like TensorFlow and PyTorch. You understand MLOps, cloud tools, and containerization, and you are energized by problems that span signal processing, deep learning, and transformer architectures. Most importantly, you are a collaborative problem-solver who learns quickly and hits the ground running.
If you are ready to leverage your clearance and AI skills to protect and defend, apply today. You will receive a generous salary, industry-leading benefits, equity, and full relocation support to join a team where your work has immediate national impact. Don’t miss this chance to advance your career while serving a mission that truly matters—submit your application now.
Non-Negotiables
- You must hold an active TS/SCI security clearance and be a United States citizen
- You need a bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or a closely related field
- You require at least one year of professional hands-on experience in artificial intelligence or machine learning, and three to five years is strongly preferred
- You must have deep, practical knowledge of modern machine learning libraries including TensorFlow, PyTorch, and scikit-learn
- You bring solid programming skills and experience with statistical and signal analysis libraries
- You demonstrate a strong understanding of MLOps, deployment pipelines, and model testing and validation
- You have practical experience with neural network architectures, deep learning models, and transformer and attention mechanisms
What's In It For You
- Full relocation assistance is provided to help you settle into the Sarasota area
- The compensation package includes a competitive base salary, top-tier benefits, and equity
- You will participate in a robust 401K plan with company contributions
- This role puts you at the center of mission-critical work that directly supports the Intelligence Community and Department of Defense
- You join a high-caliber, collaborative team where your machine learning innovations have immediate real-world impact
- The employer actively invests in your professional growth through exposure to advanced AI applications, including autonomous decision-making and signal processing
Responsibilities
- You will design, develop, and implement AI/ML solutions for a wide range of decision-making and SIGINT processing needs
- You will work with time-series data to create models that perform event characterization, pattern recognition, anomaly detection, and automated analysis of SIGINT sensor systems
- You will integrate AI/ML capabilities into enterprise architectures, balancing performance, accuracy, security, and maintainability
- You will enable autonomous decision-making systems that operate with minimal human intervention in dynamic environments
- You will discover features and infer system states from underlying data streams to support large-scale sensing systems
- You will deliver intelligent insights that empower critical Intelligence Community and Department of Defense missions
Preferred Qualifications
- Understanding of digital signal processing fundamentals is a strong nice-to-have
- Experience with Radio Frequency Machine Learning (RFML) will set you apart
- Familiarity with Large Language Models (LLMs), including fine-tuning and prompt engineering, is valued
- Knowledge of AI applications for autonomous decision-making and analysis is beneficial
- Experience with multimodal, agentic systems using RAG, COT, or MARL approaches is a plus
- Hands-on experience creating and deploying containerized AI models with Docker and Kubernetes is desirable
- Exposure to cloud AI platforms such as AWS Bedrock, Azure OpenAI, or Google Vertex AI, and real-time inference systems is advantageous
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