Machine Learning Engineer

Grey Matters Defense Solutions•Centennial, CO

19h•$154,000 - $195,000•Hybrid

About The Position

As a Machine Learning Engineer at Grey Matters, you will solve real-world problems relevant to the Intelligence Community (IC) and Department of Defense (DoD) using a combination of FOSS, GOTS, and COTS software and hardware. You will contribute to the full AI development lifecycle, from research and feasibility prototyping through integration, development, and product deployment.

Requirements

U.S. citizenship
Active Top Secret security clearance (SSBI/Tier 5 investigation)
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
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
Excellent analytical and problem-solving skills
Ability to work under minimal supervision
Strong verbal and written communication skills

Nice To Haves

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
Master's or doctoral degree in Computer Science, Data Science, Mathematics, Physics, or a related field

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 extract/transform/load (ETL) of relevant datasets for AI/ML development

Benefits

medical
dental
vision
life insurance
short-term disability
long-term disability
accident insurance
hospital indemnity insurance
wellness benefits
25% (of salary) employer contribution distributed monthly to your SEP IRA
Individual Benefit Account 25% (of salary to pay for medical insurance premiums and funded time off)
Employee assistance program
Employee discount
Health savings account
Referral program