AI/ML Engineering Intern - (Baton Rouge, LA/Frederick, MD)

Bascom Hunter provides custom solutions for aerospace and defense applications, including advanced electronics, communications, RF systems, and other mission-critical technologies. The AI/ML Engineering Intern will support the development, optimization, deployment, and productization of machine learning models, while gaining hands-on experience across data preparation, model training, MLOps, inference, and performance evaluation.

What you'll do:

• Custom Model Development: Develop, train, evaluate, and improve custom machine learning models for a variety of aerospace, defense, and engineering applications
• Model Optimization and Pruning: Evaluate and apply model pruning and other optimization techniques to reduce model size and computational requirements for deployment on resource-constrained and edge computing hardware
• Model Generalization and Productization: Convert and deploy models using formats and frameworks such as ONNX and explore how trained models can be incorporated into applications outside of Python environments
• Neuromorphic Computing: Gain experience with the BrainChip Akida framework and explore approaches for adapting different machine learning use cases and data types to neuromorphic computing architectures
• AI/ML Tooling: Use industry-standard tools for experiment tracking, dataset management, model versioning, and ML workflows, including DVC, MinIO, MLflow, and similar technologies
• Inference and Microservices: Develop inference microservices and transition experimental Python implementations toward scalable, high-performance applications using languages such as Go or Rust
• Test-Driven Development: Apply testing and software engineering practices to improve the reliability and repeatability of AI/ML applications and inference services
• Containers and Infrastructure: Build and deploy containerized applications using Docker and develop solutions capable of operating across scalable environments and workflows
• Scalable Deployment: Gain exposure to technologies such as Kubernetes and other tools used to orchestrate containerized AI/ML workloads
• Computer Vision and Defect Detection: Explore machine learning applications for manufacturing defect detection, materials analysis, image classification, and other computer vision use cases
• Multi-Domain Data Analysis: Investigate machine learning approaches for image, RF, spectrogram, synthetic aperture radar (SAR), sensor, and other technical datasets
• AI/MLOps: Develop automation for monitoring model and data drift, ingesting new data, retraining models, evaluating candidate replacements, and comparing model performance

What they're looking for:

• Pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Artificial Intelligence, Machine Learning, Mathematics, or a related field
• Experience programming in Python
• Understanding of fundamental machine learning concepts, including model training, validation, testing, and performance evaluation
• Familiarity with at least one machine learning framework such as PyTorch, TensorFlow, or similar
• Strong analytical, mathematical, and problem-solving skills
• Ability to work with technical datasets and interpret experimental results
• Self-motivated with an interest in researching and applying emerging technologies
• Strong written and verbal communication skills
• Ability to work effectively as part of a multidisciplinary engineering team
• Experience developing or training custom machine learning models
• Experience with computer vision, signal processing, RF data, spectrograms, SAR imagery, or other sensor-based datasets
• Familiarity with model optimization, quantization, pruning, or edge AI deployment

Benefits:

• Paid internship opportunity
• Full-time and part-time schedules available
• Flexible start and end dates based on the intern's academic schedule
• Hands-on experience working on real aerospace and defense engineering programs
• May provide a pathway to future employment opportunities with Bascom Hunter