TSI/SSBI/SCI - AI/ML -Software Engineer - Sensing Systems - Sarasota.FL

Henpen Corporation; Sarasota (FL); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Relocation assistance

Stock options

Industry leading benefits

Job summary

Henpen Corporation seeks an AI/ML Software Engineer for Sensing Systems in Sarasota, FL. The role focuses on applying AI/ML to signal processing challenges and delivering robust, scalable solutions within a team.

Ideal candidates have a BS in a related field and 1+ year of AI/ML experience, strong ML libraries knowledge, and a solid programming background, plus U.S. citizenship and TS/SCI clearance.

Qualifications

• BS degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or related field.
• Minimum 1-year hands-on experience in AI/ML in a professional environment (3-5 years preferred).
• Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.).
• Solid programming background with experience using statistical and signal analysis libraries.
• Experience with neural network architectures including deep learning models.
• Understanding of transformer architectures and attention mechanisms.
• Strong understanding of MLOps, deployment and processing pipelines, testing/validation.
• TS/SCI active clearance required.
• U.S. Citizenship required.

Responsibilities

• Designing, developing, and implementing AI/ML solutions for SIGINT processing needs.
• Work with time-series data and develop models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems.
• Collaborate with team leads to integrate AI/ML into enterprise architectures with attention to accuracy, security, and maintainability.
• Enable autonomous decision-making systems with minimal human intervention and adaptive processing for dynamic environments.
• Develop solutions for large-scale sensing systems to deliver intelligent insights for mission support.

Skills

AI/ML hands-on experience

ML libraries (TensorFlow, PyTorch, sci

Neural networks & deep learning

Transformer architectures & attention

MLOps, deployment pipelines

Signal processing basics

Programming: Python/C++

Security clearance TS/SCI

Education

BS in CS/EE/CE/Math

Tools

Docker/Kubernetes

Cloud AI platforms (AWS/Azure/Vertex)

Model monitoring / A/B testing

Job description

TSI/SSBI/SCI - AI/ML -Software Engineer - Sensing Systems - Sarasota.FL

• Sarasota, Florida

Must be TSI/SSBI/SCI to move forward. if not, your application will not be considered.

Sarasota, Florida, USA

Job Description

We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing.

The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running.

Qualifications

• BS degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or related field
• Minimum 1-year hands‑on experience in AI or ML in a professional environment (3-5 years preferred)
• Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.)
• Solid programming background with experience using statistical and signal analysis libraries
• Experience with neural network architectures including deep learning models
• Understanding of transformer architectures and attention mechanisms
• Strong understanding of MLOps, deployment and processing pipelines, testing/validation
• TS/SCI active clearance required.
• U.S. Citizenship required

Nice to have, but not required:

• Understanding of digital signal processing fundamentals
• Experience with RFML
• Experience with Large Language Models (LLMs) including fine-tuning and prompt engineering
• Knowledge of AI applications for autonomous decision-making and analysis
• Additional consideration for experience with multimodal, agentic systems using RAG, COT, or MARL approaches
• Experience with reinforcement learning, human feedback, and related system learning methods
• Experience creating and deploying containerized AI models with Docker/Kubernetes
• Working with cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI)
• Experience with model monitoring, A/B testing, and performance optimization
• Experience with real-time inference systems and low-latency model serving
• Knowledge of adversarial ML and AI security/robustness techniques
• Experience with graph neural networks for network analysis
• Experience in design, deployment, support of AI or ML model for significant real-world applications

Job Duties:

• You will be responsible for designing, developing, and implementing AI/ML solutions for a wide range of decision-making and SIGINT processing needs.
• This includes working with time-series data and developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems.
• You will work with team leads to integrate AI/ML capabilities into enterprise architectures, ensuring performant processing while considering aspects of accuracy, security, and maintainability.
• This also includes enabling autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments, and discovering features and inferring system states from the underlying data streams.
• You will work towards solutions for large-scale sensing systems, implementing tailored models deliver intelligent insights in support of critical Intelligence Community and Department of Defense missions.

FULL RELOCATION plus Industry best benefits & stock.

Why is This a Great Opportunity

We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing.

The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running.