Mid-Level AI Engineer

Nou Systems Inc

Lexington (MA)

On-site

USD 125,000 - 200,000

Full time

3 days ago
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Benefits offered by this job

Competitive wages
Medical, Rx, Dental & Vision Insurance
401(k) Retirement Plan
Employee Stock Ownership Plan (ESOP)
Tuition Reimbursement
Personal Development & Lunch-n-Learns

Job summary

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

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Strong intellectual curiosity
Literature review skills
Clear communication to non-specialists
Security clearance readiness

Education

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

Job description

Nou Systems Inc is assembling an onsite team in Lexington, MA to build and deliver applied AI and machine learning 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 clearly to both technical and non-specialist audiences.

Role Focus
  • Develop, train, and analyze AI/ML systems, including deep reinforcement learning, explainability, adversarial ML, and model interpretability.
  • Architect and deliver AI solutions from lab to field for defense and related markets.
Responsibilities
  • Architect AI solutions and navigate complex engineering tradeoffs.
  • Identify and design training data sets.
  • Implement and customize AI models from open literature.
  • Develop MLOps pipelines.
  • Visualize and communicate results through written documents and oral presentations.
  • Brief technical concepts and results to non-specialist audiences.
  • Bring in new work through proposals and conferences for the Technical Solutions division.
  • Help develop junior engineers and contribute value beyond individual output.
  • Support multiple teams and collaborate effectively with teammates.
Requirements
  • Master’s degree in computer science, math, physics, or a related field (or bachelor’s degree plus 2 additional years of experience).
  • Strong intellectual curiosity.
  • Ability to identify, understand, and apply relevant research literature.
  • Must possess or be able to obtain an active Secret clearance.
Technologies
  • Python
  • PyTorch
  • Tensorflow
  • Jax
  • PyTorch Lightning
  • Optuna
  • MLflow
  • Git
  • Gitlab
  • CI/CD
  • Remote Computing
  • Docker
Benefits
  • Competitive Wages*
  • Medical, Rx, Dental & Vision Insurance
  • Medical plan with Health Savings Account eligibility
  • Company-funded Life, Short-Term & Long-Term Disability Insurance
  • Personal Time Off, Vacation, and Paid Holidays
  • 401(k) Retirement Plan
  • Employee Stock Ownership Plan (ESOP)
  • Flexible Spending Accounts
  • Norton LifeLock
  • Tuition Reimbursement
  • Personal Development, Technical Learning Opportunities, & Lunch-n-Learns
  • Corporate Sponsored Events & Community Outreach

Salary range is USD 125,000 - 200,000 per year. Minimum experience: 2 years. Location: Lexington, MA (onsite).

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