AI Engineer - WFH
About the Company nou Systems, Inc. (nSI) is a 100% employee-owned company founded in 2012. It provides products, services, and engineering expertise across defense systems, missile defense, cybersecurity, test range modernization, biotechnology, and space control. The company specializes in innovative engineering, prototype development, and technical and professional services, delivering solutions from initial concepts through fully developed and integrated products. About the Role nou Systems is seeking a junior-level AI Engineer to join its Technical Solutions division. In this role, you will work with a team developing machine learning solutions from research and experimentation through field implementation. You will contribute to a variety of machine learning projects while collaborating with technical teams and applying deep learning and software development skills. This position requires hands-on experience with deep learning models, Python software development fundamentals, and the ability to communicate effectively and work collaboratively.
Key Responsibilities
Help identify and design training datasets. Implement and customize machine learning models based on open literature. Develop MLOps pipelines. Visualize and communicate results through written documentation and oral presentations. Support multiple teams and collaborate effectively with other team members. Basic Qualifications Bachelor’s degree in a STEM field. Academic, internship, or professional experience in AI development, including reinforcement learning (RL), explainable AI (XAI), or large language models (LLMs). 1–3 years of hands-on experience with deep learning models, including supervised, unsupervised, and reinforcement learning, using PyTorch, TensorFlow, or JAX. Must possess or be able to obtain an active Secret security clearance. Hands-on experience with deep learning models and software development fundamentals in Python. Strong written and verbal communication skills. Ability to work effectively as part of a team and contribute to a variety of machine learning projects.
Preferred Qualifications
Ability to write clean deep learning code in Python. Ability to approach problems with statistical rigor. Strong intellectual curiosity and an interest in developing creative solutions using current methodologies. Ability to work independently, diagnose problems, and develop solutions while collaborating with technical experts. Experience with time-series data, satellite imagery, and graph neural networks. Experience with reinforcement learning development using OpenAI Gymnasium and Ray RLlib. Experience with reinforcement learning algorithms, including Q-Learning and Actor-Critic methods. Experience with MLOps tools such as PyTorch Lightning, Optuna, and MLflow. Experience with DevOps tools such as Git, GitLab, CI/CD, remote computing, and Docker.
About the Company
Culture & Career Development nSI offers advancement and personal career development opportunities within its high-tech engineering environment. The company emphasizes teamwork, collaboration, and a culture that treats employees like family.
Benefits
Competitive wages. Medical, prescription, dental, and vision insurance. Medical plan with Health Savings Account eligibility. Company-funded life, short-term disability, and long-term disability insurance. Personal time off, vacation, and paid holidays. 401(k) retirement plan. Employee Stock Ownership Plan (ESOP). Flexible Spending Accounts. Norton LifeLock. Tuition reimbursement. Personal development and technical learning opportunities, including Lunch-n-Learns. Corporate-sponsored events and community outreach. Final compensation will be determined by factors including relevant work experience, skills, certifications, and geographic location. Equal Employment Opportunity nou Systems, Inc. is an Equal Opportunity Employer. Employment decisions are based on a candidate’s qualifications and ability to perform the essential functions of the position. The company does not discriminate based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, protected veteran status, genetic information, or any other characteristic protected by law. U.S. citizenship is required for most positions.