This job has closed.

Northrop Grumman · 3 days ago

AI Software Engineer (AHT) - R10208296

Beavercreek, OH

Full-time

Onsite

Entry, Mid Level

$98K/yr - $148K/yr

2+ years exp

Northrop Grumman is a leading aerospace and defense technology company seeking a highly motivated AI Software Engineer to join their C2 & Weapons Integration Artificial Intelligence Center of Excellence. The role involves developing AI/ML applications and collaborating with cross-functional teams to tackle challenges related to AI augmentation and automation.

AerospaceData IntegrationManufacturingRemote SensingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

Qualification

AI modelsAlgorithmsAI/ML frameworksMachine learning pipelineWeb application developmentCloud computing servicesMicroservice architecturesExplainable AIStatistical modelingLinux operating systemsSoft skills

Required

Bachelor's degree in Computer Science or related STEM degree with 2 years' experience OR Master's degree in Computer Science or related STEM degree with 0 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)