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.
Responsibilities- 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.
QualificationsRequired Qualifications:
- 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
- Familiarity with software development methodologies (Agile, Scrum) and version control systems (Git).
- Familiarity with cloud computing platforms (e.g., AWS, Azure) and deployment of machine learning/AI models in cloud environments.
- Excellent problem-solving skills and the ability to work effectively in a team-oriented environment.
- Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Current TS/SCI clearance
- Experience in defense or government contracting environments.
- Knowledge of cybersecurity principles and practices.
- Familiarity with common AI Agent SDKs (LangGraph, OpenAI SDK, etc.) and related protocols (e.g., MCP, A2A)
- Familiarity with running language models locally (e.g., using HuggingFace transformers, ollama, LM Studio, llama.cpp, etc.)
Global Comp$90,000 - $180,000 This represents the typical compensation range for this position based on experience, location and other factors. Closing Statement Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran’s status or any other status legally protected by applicable federal, state, and local law.
Skills Required
- Current Secret security clearance
- Ability to obtain a Top Secret/SCI security clearance
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
- 8-10 years of software engineering experience focused on machine learning, AI, and data analysis
- Proficiency in Python, Java, or C++
- Experience with machine learning and AI libraries such as TensorFlow, PyTorch, or Scikit-learn
- Strong understanding of machine learning and AI algorithms, statistical analysis, and data mining
- Experience with data management tools and frameworks
- Familiarity with Agile, Scrum, and Git
- Familiarity with AWS or Azure and cloud-based machine learning model deployment
- Strong problem-solving and teamwork skills
- Effective communication skills for explaining technical concepts to non-technical stakeholders
- Current Top Secret/SCI security clearance
- Experience in defense or government contracting environments
- Knowledge of cybersecurity principles and practices
- Familiarity with AI agent SDKs and protocols, including LangGraph, OpenAI SDK, MCP, or A2A
- Familiarity with running language models locally using HuggingFace Transformers, Ollama, LM Studio, or llama.cpp
What We Do
Founded in 1967, Riverside Research is a not-for-profit organization chartered to advance scientific research for the benefit of the US government and in the public interest. Through our open innovation concept, we invest in multi-disciplinary research and development and encourage collaboration to accelerate innovation and advance science. Riverside Research conducts independent research in machine learning, trusted systems, optics and photonics, electromagnetics, plasma physics, radio frequency systems, and biomedical engineering. We move science from the laboratory to the field by building teams of recognized experts who deliver effective, high-value solutions and services to our customers. From public service to national security, we aspire to be a valued partner through our unwavering commitment to innovative and mission-focused solutions.
