Machine Learning Engineer at Grey Matters Defense Solutions

Compensation

$154,000 – $195,000/yr

Setup: Hybrid
Location: Centennial, Colorado
Type: Full-time
Level: not_specified
Posted: Aug 14, 2026

Description

Grey Matters Defense Solutions is seeking a Machine Learning Engineer to develop and deploy AI algorithms for the Intelligence Community and Department of Defense. The role involves supporting end-to-end model development, designing and running experiments, packaging and deploying models, and collaborating with data engineers. Candidates should have strong programming skills in Python and ML/DL frameworks like PyTorch.

Required Skills

Python
PyTorch
AI Models
Data Structures
Numerical Methods
Algorithm Design
Unix/Linux
Analytical Skills
Problem-solving Skills

Additional Information

Required Previous Experiences: 7+ years of professional experience with Python
4+ years of hands-on experience with PyTorch or another ML/DL framework
Extensive 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
Preferred Qualifications: Knowledge of and experience with self-supervised pretraining and downstream adaptation, transfer learning, generative models, and transformers.
Multi-GPU and distributed training experience (PyTorch DDP or FSDP), including shared cluster resources (Slurm, Kubernetes, Run:ai)
Experience with experiment tracking and data/model versioning for reproducibility (MLflow, Weights & Biases, DVC)
Experience across deep learning domains, including Natural Language Processing (NLP), computer vision, and time series data.
Familiarity with other ML/DL frameworks and libraries (PyTorch Lightning, TensorFlow, Keras, fastai, scikit-learn, etc.).
Comfort working in restricted or air-gapped development environments.