MTSI is seeking an entry-level Machine Learning Engineer to build intelligent systems, data-driven applications, and scalable ML solutions that power real-world applications for 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 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)
- Familiarity with version control (Git) and collaborative software development
Responsibilities
- building intelligent systems
- data-driven applications
- scalable ML solutions
- developing cutting-edge machine learning models
- integrating models into larger systems
- conducting experiments
- analyzing performance metrics
Other
- Bachelor’s degree in computer science, Mathematics, Physics, Biomedical Engineering, or a related field
- Strong analytical and problem-solving skills
- Excellent communication
- Must have US government security clearance: US citizenship required
- Mentored by senior technical leaders, work in a collaborative multi-disciplinary team
