Mid-Level Software Engineer

As a Mid-Level Machine Learning/AI Software Engineer, you will be responsible for developing, implementing, and applying machine learning/AI algorithms and solutions to address complex challenges within defense applications.

You will collaborate closely with cross-functional teams, including data scientists, software engineers, and defense analysts, to enhance the capabilities of our systems and support mission-critical operations.

This position is located in our Fairfax, VA office or our Lexington, MA office.

• Develop, implement, and apply machine learning / AI algorithms
• Design, implement, and optimize machine learning/AI models for various defense applications, including data analysis, pattern recognition, and predictive modeling.
• Collaborate with data scientists to preprocess and analyze large datasets, ensuring high-quality training data for model development.
• Develop scalable software solutions that integrate machine learning/AI algorithms into existing systems and workflows.
• Conduct experiments to evaluate and refine model performance, ensuring reliability and accuracy.
• Participate in the full software development lifecycle, including requirements gathering, design, implementation, testing, and documentation.
• Stay current with advancements in machine learning/AI technologies and methodologies, applying best practices to enhance our projects.
• Contribute to the preparation of technical reports and presentations for stakeholders.

• Current Secret clearance, ability to obtain a TS/SCI
• Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 8-10 years of experience in software engineering with a focus on machine learning/AI and data analysis.
• Proficient in programming languages such as Python, Java, or C++, with experience in machine learning/AI libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of machine learning/AI algorithms, statistical analysis, and data mining techniques.
• Experience with data management tools and frameworks