TS/SCI ML Engineer - Hybrid, Defense-Focused

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

Benefits offered by this job

SEP IRA 25% contribution

Benefit account 25% of salary

Employee assistance program

Employee discount

Health savings account

Referral program

Job summary

Grey Matters Defense Solutions, LLC is seeking a Machine Learning Engineer to solve real-world IC/DoD problems using a mix of FOSS, GOTS, and COTS software. You will contribute to the full AI lifecycle from research through deployment, collaborating with data engineers on data prep and ETL for AI/ML development.

The role requires a TS/SCI clearance, strong Python/PyTorch experience, and the ability to work in a hybrid environment in Centennial, CO.

Qualifications

• U.S. citizenship required.
• Active Top Secret clearance (SSBI/Tier 5 investigation) required.
• Bachelor’s degree in a related technical field required.

Responsibilities

• Support end-to-end model development: architecture selection, training, evaluation, and iteration against mission problems, from feasibility prototype to production candidate.
• Design and run rigorous experiments: baselines, ablations, and held-out evaluation, with clear reporting that supports program decisions.
• Package and deploy models into operational environments, and improve them through continual data acquisition.
• Collaborate with data engineers to support data selection, pre-processing, curation, and ETL of relevant datasets for AI/ML development.

Skills

Python

PyTorch

Unix/Linux

Data structures

Education

Bachelor's degree

Tools

Slurm

Kubernetes

MLflow

Weights & Biases

Job description

Grey Matters Defense Solutions, LLC is seeking a Machine Learning Engineer to solve real-world IC/DoD problems using a mix of FOSS, GOTS, and COTS software. You will contribute to the full AI lifecycle from research through deployment, collaborating with data engineers on data prep and ETL for AI/ML development.

The role requires a TS/SCI clearance, strong Python/PyTorch experience, and the ability to work in a hybrid environment in Centennial, CO.