Junior AI Engineer — DL/RL, Python, ESOP Eligible

ADP, Inc.; Colorado Springs (CO); On-site; USD 70,000 - 125,000; Full time

Benefits offered by this job

Competitive compensation

Employee stock ownership

Health benefits

Job summary

nou Systems, Inc. is hiring an AI Engineer to join our Technical Solutions division and develop ML solutions for missile defense, cybersecurity, test range modernization, and space control.

You will design, train, and evaluate models, and work with cross-functional teams across the lab-to-field spectrum. You will communicate results effectively, contribute to data-driven insights, and help educate non-data-science teams.

Qualifications

• Bachelor’s degree in a STEM field.
• Hands-on AI development experience (RL, XAI, LLM).
• 1–3 years of deep learning experience with PyTorch, TensorFlow, or Jax.
• Active Secret clearance or ability to obtain one.
• Strong written and verbal communication; team collaboration.
• Hands-on Python software development.

Responsibilities

• Develop, train, and analyze ML models for supervised learning and reinforcement learning.
• Collaborate with other data scientists and educate non-data-science teams on ML value and limitations.
• Identify training data sets and implement models from literature.
• Visualize results and present findings in written documents and oral presentations.
• Support multiple teams and collaborate effectively.

Skills

Python

Deep learning

Reinforcement learning

Machine learning

Communication skills

Team player

Education

Bachelor's degree in a STEM field

Tools

PyTorch

TensorFlow

Jax

OpenAI Gymnasium

Ray RLlib

MLflow

PyTorch Lightning

Git

Docker

CI/CD

Job description

nou Systems, Inc. is hiring an AI Engineer to join our Technical Solutions division and develop ML solutions for missile defense, cybersecurity, test range modernization, and space control.

You will design, train, and evaluate models, and work with cross-functional teams across the lab-to-field spectrum. You will communicate results effectively, contribute to data-driven insights, and help educate non-data-science teams.