Job Description
Successful candidates will demonstrate a broad skill set balanced between interpersonal and technical capabilities developing sustainable quality products. They will have a track record as an effective communicator and problem solver who is capable of developing and maintaining good working relationships with internal and external stakeholders. The selected candidates will work closely with other AI/ML and software engineers to accomplish the following:
• Define, develop, and deliver novel mathematical and statistical modeling and algorithm development to tackle the challenges of prediction, optimization, and classification.
• Apply machine learning algorithms to large sets of structured and unstructured data to solve a broad range of problems that include applications in autonomy, pattern recognition, target detection and tracking, recommendation and decision support systems, and robotic systems.
• Design, develop, document, test, debug, and deploy state-of-the-art AI/ML applications.
• Collaborate with cross-functional team to deploy AI/ML solutions in development and production environments.
• Regularly demonstrate progress to customers.
Basic Qualifications
• Bachelor's degree in Computer Science or related STEM degree with 5 years' experience OR Master's degree in Computer Science or related STEM degree with 3 years' experience
• Experience with one of more AI models and algorithms: LLMs, DNN, genetic algorithms, embedding models, deep learning, etc.
• Experience developing systems with AI/ML frameworks and libraries such as PyTorch, TensorFlow, Keras, and Scikit-learn.
• Development experience should span the ML pipeline and include: working with novel datasets, data processing and preparation, training and fine-tuning ML systems, modifying existing deep learning architectures as well as coding from architecture diagrams, and evaluating system performance using established and novel metrics and methods.
• Ability to carry out rapid prototyping and proof-of-concept demonstrations.
• Possess general familiarity with applied machine learning concepts including: multilayer perceptrons, CNNs, LSTMs, transformer models, supervised/unsupervised learning methods, reinforcement learning methods, as well as statistical modeling and graphical models.
• Possess general familiarity with computational and statistical learning theory.
• Experience with web application development frameworks such as Flask, FastAPI.
• Understanding of software engineering best practices including source control and software architecture
• Able to obtain a U.S. Government Top Secret security clearance (U.S. citizenship is a pre-requisite)
Preferred Qualifications:
• Experience with AWS or other cloud computing services.
• Experience with microservice architectures and related software methods including containerization and container orchestration.
• Familiarity with explainable AI, adversarial AI, active learning, and third wave approaches to AI.
• Familiarity with DevOps/DevSecOps/MLOps concepts.
• Familiarity with Linux-based operating systems.
• Demonstrated ability to work independently.
• Experience in working with LLMs (e.g. prompt engineering, LLM development frameworks, fine tuning, quantization)
• Experience in modeling and simulation.
• Experience with vector and/or graph databases
Primary Level Salary Range: $121,400.00 - $182,000.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Successful candidates will demonstrate a broad skill set balanced between interpersonal and technical capabilities developing sustainable quality products. They will have a track record as an effective communicator and problem solver who is capable of developing and maintaining good working relationships with internal and external stakeholders. The selected candidates will work closely with other AI/ML and software engineers to accomplish the following:
• Define, develop, and deliver novel mathematical and statistical modeling and algorithm development to tackle the challenges of prediction, optimization, and classification.
• Apply machine learning algorithms to large sets of structured and unstructured data to solve a broad range of problems that include applications in autonomy, pattern recognition, target detection and tracking, recommendation and decision support systems, and robotic systems.
• Design, develop, document, test, debug, and deploy state-of-the-art AI/ML applications.
• Collaborate with cross-functional team to deploy AI/ML solutions in development and production environments.
• Regularly demonstrate progress to customers.
Basic Qualifications
• Bachelor's degree in Computer Science or related STEM degree with 5 years' experience OR Master's degree in Computer Science or related STEM degree with 3 years' experience
• Experience with one of more AI models and algorithms: LLMs, DNN, genetic algorithms, embedding models, deep learning, etc.
• Experience developing systems with AI/ML frameworks and libraries such as PyTorch, TensorFlow, Keras, and Scikit-learn.
• Development experience should span the ML pipeline and include: working with novel datasets, data processing and preparation, training and fine-tuning ML systems, modifying existing deep learning architectures as well as coding from architecture diagrams, and evaluating system performance using established and novel metrics and methods.
• Ability to carry out rapid prototyping and proof-of-concept demonstrations.
• Possess general familiarity with applied machine learning concepts including: multilayer perceptrons, CNNs, LSTMs, transformer models, supervised/unsupervised learning methods, reinforcement learning methods, as well as statistical modeling and graphical models.
• Possess general familiarity with computational and statistical learning theory.
• Experience with web application development frameworks such as Flask, FastAPI.
• Understanding of software engineering best practices including source control and software architecture
• Able to obtain a U.S. Government Top Secret security clearance (U.S. citizenship is a pre-requisite)
Preferred Qualifications:
• Experience with AWS or other cloud computing services.
• Experience with microservice architectures and related software methods including containerization and container orchestration.
• Familiarity with explainable AI, adversarial AI, active learning, and third wave approaches to AI.
• Familiarity with DevOps/DevSecOps/MLOps concepts.
• Familiarity with Linux-based operating systems.
• Demonstrated ability to work independently.
• Experience in working with LLMs (e.g. prompt engineering, LLM development frameworks, fine tuning, quantization)
• Experience in modeling and simulation.
• Experience with vector and/or graph databases
Primary Level Salary Range: $121,400.00 - $182,000.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
About Northrop Grumman
Northrop Grumman is a leading global aerospace and defense technology company. Our pioneering solutions equip out customers with the capabilities they need to connect and protect the world and push the boundaries of human exploration across the universe. Driven by a shared purpose to solve our customers’ toughest problems, our nearly 100,000 employees contribute to launching the technology of tomorrow, today.
© 2025 Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
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