Mid-Level AI Engineer — Build Cutting-Edge ML for Defense

ADP, Inc.

Colorado Springs (CO)

On-site

USD 125,000 - 200,000

Full time

4 days ago
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Benefits offered by this job

Competitive wages
Medical plan with HSA
ESOP
401(k) Retirement Plan
Tuition Reimbursement
Lunch-n-Learns
Community Outreach

Job summary

nou Systems, Inc. (nSI) is a rapidly growing, 100% employee-owned company delivering AI-driven solutions in defense sectors such as missile defense and cybersecurity. The AI Engineer will design, train, and analyze ML/AI systems, collaborate across teams, and help educate non-data-science colleagues on AI value and limitations.

You will lead projects, mentor engineers, and contribute to proposals while working in a fast-paced environment focused on tangible product delivery.

Qualifications

  • Master’s degree in CS, math, physics, or a related field (or bachelor’s degree plus 2 additional years of experience).
  • Ability to identify, understand, and apply relevant research literature.
  • Active Secret clearance or ability to obtain.
  • Strong software development fundamentals in Python and ability to lead teams.

Responsibilities

  • Architect AI solutions and navigate difficult tradeoffs.
  • Identify and design training data sets for ML models.
  • Implement and customize AI models from open literature.
  • Visualize and communicate results in written and oral form.
  • Brief technical concepts to non-specialist audiences.
  • Lead junior engineers and contribute across multiple teams.

Skills

Deep Learning
Python
Deep Reinforcement Learning
Model Explainability
Communication
Team Leadership
Proposal Writing

Education

Master's degree in CS/Math/Physics

Tools

PyTorch
TensorFlow
JAX
MLflow
PyTorch Lightning
Optuna
Docker
Git

Job description

nou Systems, Inc. (nSI) is a rapidly growing, 100% employee-owned company delivering AI-driven solutions in defense sectors such as missile defense and cybersecurity. The AI Engineer will design, train, and analyze ML/AI systems, collaborate across teams, and help educate non-data-science colleagues on AI value and limitations.

You will lead projects, mentor engineers, and contribute to proposals while working in a fast-paced environment focused on tangible product delivery.

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