Principal AI Software Engineer (AHT)

Latitude; Beavercreek, Northern (OH, KY); Hybrid; USD 125,000 - 188,000; Full time

Benefits offered by this job

Health insurance

Savings plan

Paid time off

Job summary

Northrop Grumman seeks a skilled AI/ML engineer to define, develop, and deploy models addressing prediction, optimization, and classification tasks. You will apply ML to large datasets for autonomy, pattern recognition, and decision support, delivering results to stakeholders.

The role expects strong experience with PyTorch/TensorFlow/Keras, data processing, training, and evaluation, plus collaboration across teams; active Secret clearance is required.

Qualifications

• Bachelor’s degree in Computer Science or a related STEM field with 5 years of relevant experience; or Master’s with 3 years of relevant experience; an additional 4 years may be considered in lieu of a degree.
• Experience implementing and/or applying one or more AI models and algorithms (e.g., LLMs, CNNs, embedding models).
• Experience developing systems using AI/ML frameworks and libraries such as PyTorch, TensorFlow, Keras, or Scikit-learn.
• Experience across the ML pipeline: data processing, training and fine-tuning, evaluation, and deploying models.

Responsibilities

• Define, develop, and deliver AI/ML models and algorithms for prediction, optimization, and classification problems.
• Apply ML to large structured and unstructured data for autonomy, detection, tracking, and decision support.
• Design, develop, test, and deploy AI/ML applications.
• Collaborate with cross-functional teams to deploy AI/ML solutions in development and production environments.
• Prepare and present technical progress and results to stakeholders.

Skills

AI models

ML frameworks

Data processing

Training & fine-tuning

Model evaluation

Rapid prototyping

ML theory

Software engineering

Education

Bachelor’s degree in Computer Science or related STEM

Master’s degree in Computer Science or related STEM

Tools

PyTorch

TensorFlow

Keras

Scikit-learn

Flask

FastAPI

Job description

RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE REQUIRED FOR START: Yes

CLEARANCE TYPE: Secret

TRAVEL: Yes, 10% of the Time

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way.

Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Key Responsibilities

• Define, develop, and deliver mathematical and statistical models and algorithms to address prediction, optimization, and classification problems.
• Apply machine learning algorithms to large structured and unstructured datasets for use cases such as autonomy, pattern recognition, target detection and tracking, recommendation and decision support systems, signals processing, and robotic systems.
• Design, develop, document, test, debug, and deploy AI/ML applications.
• Collaborate with cross-functional teams to deploy AI/ML solutions in development and production environments.
• Prepare and present technical progress and results to internal and external stakeholders.

Basic Qualifications

• Bachelor's degree in Computer Science or a related STEM field with 5 years of relevant experience, or master's degree in Computer Science or a related STEM field with 3 years of relevant experience; an additional 4 years of relevant experience may be considered in lieu of a degree.
• Experience implementing and/or applying one or more AI models and algorithms (for example: LLMs, deep neural networks, genetic algorithms, embedding models, deep learning architectures).
• Experience developing systems using AI/ML frameworks and libraries such as PyTorch, TensorFlow, Keras, or Scikit-learn.
• Experience across the ML pipeline, including:
  • Working with novel or heterogeneous datasets.
  • Data processing and preparation.
  • Training and fine-tuning ML systems.
  • Modifying existing deep learning architectures and implementing models from architecture diagrams.
  • Evaluating system performance using established and custom metrics and methods.
• Ability to perform rapid prototyping and proof-of-concept implementations.
• General familiarity with applied machine learning concepts, including multilayer perceptrons, convolutional neural networks (CNNs), recurrent architectures such as LSTMs, transformer models, supervised and unsupervised learning methods, reinforcement learning methods, and statistical or graphical models.
• General familiarity with computational and statistical learning theory.
• Experience with web application development frameworks such as Flask or FastAPI.
• Understanding of software engineering practices, including use of source control and basic software architecture concepts.
• Must have an active Secret clearance with the ability to obtain a TS/SCI clearance with CI Poly

Preferred Qualifications

• Active TS/SCI clearance with CI Poly
• Experience with AWS or other commercial cloud computing platforms.
• Experience with microservice architectures and related practices, including containerization and container orchestration technologies.
• Familiarity with explainable AI, adversarial AI, active learning, and third-wave AI approaches.
• Familiarity with DevOps, DevSecOps, and/or MLOps concepts and workflows.
• Familiarity with Linux-based operating systems.
• Experience working independently to plan and execute technical tasks.
• Hands-on experience with LLMs (e.g., prompt design/engineering, use of LLM development frameworks, fine-tuning, or model quantization).
• Experience with modeling and simulation.
• Experience using vector databases and/or graph databases.

Primary Level Salary Range: $125,300.00 - $187,900.00

The 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.