Mid-Level Defense AI Engineer — MLOps & RL, Lexington

Nou Systems Inc; Lexington (MA); Vor Ort; USD 125.000 - 200.000; Vollzeit

Benefits dieser Stelle

Competitive wages

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Employee Stock Ownership Plan (ESOP)

Tuition Reimbursement

Personal Development & Lunch-n-Learns

Zusammenfassung

Nou Systems Inc in Lexington, MA is assembling an onsite team to build applied AI/ML systems for defense and related markets. In this role, you will help take models and methods from research into real-world use, covering areas such as deep reinforcement learning, explainability, adversarial ML, and model interpretability.

This mid-level to mid-senior position focuses on developing AI solutions, training and analyzing AI/ML systems, and supporting multiple teams while communicating results

Qualifikationen

• Requires Master’s degree or Bachelor’s plus 2 years of experience.
• Strong intellectual curiosity and ability to apply research literature.
• Must possess or be able to obtain an active Secret clearance.
• Ability to communicate complex AI concepts to non-specialists.

Aufgaben

• Architect AI/ML solutions and tradeoffs across teams.
• Identify and design training datasets for models.
• Implement and customize AI models from literature.
• Develop MLOps pipelines and CI/CD workflows.
• Visualize results and present findings to technical and non-technical audiences.
• Mentor junior engineers and collaborate across teams.

Kenntnisse

Strong intellectual curiosity

Literature review skills

Clear communication to non-specialists

Security clearance readiness

Ausbildung

Master’s degree in CS/Math/Physics or related

Bachelor’s degree + 2 years experience

Tools

Python

PyTorch

TensorFlow

Jax

PyTorch Lightning

Optuna

MLflow

Git

GitLab

CI/CD

Docker

Jobbeschreibung

Nou Systems Inc in Lexington, MA is assembling an onsite team to build applied AI/ML systems for defense and related markets. In this role, you will help take models and methods from research into real-world use, covering areas such as deep reinforcement learning, explainability, adversarial ML, and model interpretability.

This mid-level to mid-senior position focuses on developing AI solutions, training and analyzing AI/ML systems, and supporting multiple teams while communicating results