MTSI is seeking a Machine Learning Engineer to develop intelligent systems, data-driven applications, and scalable ML solutions for real-world applications, supporting critical national defense and security programs.
Requirements
- Proficiency in programming languages such as Python and MATLAB
- 0-2+ years of experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV)
- Knowledge of deep learning and optimization techniques
- Experience with data visualization tools
- Experience with version control (Git) and collaborative software development
- Experience with Bio-inspired algorithms and metaheuristic optimization techniques, including evolutionary algorithms, genetic algorithms, or swarm intelligence
- Understanding of MBSE (Model-Based Systems Engineering) concepts and tools (e.g., SysML, Cameo)
Responsibilities
- Building intelligent systems, data-driven applications, and scalable ML solutions
- Developing cutting-edge machine learning models that power real-world applications
- Working in a collaborative multi-disciplinary team
- Conducting experiments, analyzing performance metrics, and optimizing models for accuracy and efficiency
- Integrating models into larger systems using MBSE concepts and tools
- Using machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV)
- Utilizing data visualization tools
Other
- Bachelor’s degree in Computer Science, Mathematics, Physics, Biomedical Engineering, or a related field
- Must have US government security clearance: US citizenship required
- Excellent communication skills
- Strong analytical and problem-solving skills
