TS/SCI ML Engineer for DoD/IC AI (Hybrid)

Grey Matters Defense Solutions, LLC; Centennial (CO); Hybrid; USD 154,000 - 195,000; Full time

Benefits offered by this job

25% employer contribution to SEP IRA

Individual Benefit Account 25%

Employee assistance program

Employee discount

Health savings account

Referral program

Job summary

Grey Matters Defense Solutions, LLC is seeking a Machine Learning Engineer to tackle real-world intelligence community and DoD problems. You will work across research, prototyping, integration, and deployment, using FOSS, GOTS, and COTS solutions in a hybrid Centennial, CO environment.

You will lead end-to-end model development, design rigorous experiments, and collaborate with data engineers to curate datasets for AI/ML workflows.

Qualifications

• U.S. citizenship required.
• Active Top Secret security clearance (SSBI/Tier 5).
• Bachelor's degree in a related technical field.
• 7+ years of professional experience with Python.
• 4+ years of hands-on experience with PyTorch or another ML/DL framework.
• Experience training customized state-of-the-art AI models on real-world datasets.
• Strong understanding of data structures, numerical methods, and algorithm design.
• Experience developing software in a Unix/Linux environment.
• Excellent analytical and problem-solving skills.
• Ability to work under minimal supervision.
• Strong verbal and written communication skills.

Responsibilities

• End-to-end model development: architecture, training, evaluation, iteration.
• Design and run rigorous experiments with baselines and ablations.
• Package and deploy models into operational environments.
• Collaborate with data engineers for data selection, pre-processing, ETL.

Skills

Python

PyTorch

Data analysis

Unix/Linux

Problem solving

Communication

Education

Bachelor's degree

Master's or PhD

Tools

PyTorch

Slurm

Kubernetes

Run:AI

MLflow

Weights & Biases

DVC

TensorFlow

Keras

scikit-learn

PyTorch Lightning

Job description

Grey Matters Defense Solutions, LLC is seeking a Machine Learning Engineer to tackle real-world intelligence community and DoD problems. You will work across research, prototyping, integration, and deployment, using FOSS, GOTS, and COTS solutions in a hybrid Centennial, CO environment.

You will lead end-to-end model development, design rigorous experiments, and collaborate with data engineers to curate datasets for AI/ML workflows.