Job description

Job Title: Machine Learning Engineer Clearance Required: TS/SCI Location: Centennial, CO | Hybrid About Us Grey Matters Defense Solutions, LLC is a specialized firm in software development, data analytics, and advanced remote sensing technologies, tailored to meet the complex demands of the defense and intelligence sectors. Our team spans senior-level experts from organizations such as the Defense Intelligence Agency (DIA), National Reconnaissance Office (NRO), Defense Advanced Research Projects Agency (DARPA), and the U.S. Armed Forces, as well as recent graduates and military veterans. By integrating the skills of subject matter experts, analysts, software engineers, and data scientists, we deliver unique artificial intelligence algorithms and applications for the defense and intelligence community. About the Role 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. Key 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 Required Qualifications • 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 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 • Master's or doctoral degree in Computer Science, Data Science, Mathematics, Physics, or a related field Salary Range: $70.00 - $93.00 an hour Grey Matters Defense Solutions, LLC offer a comprehensive benefits package including medical, dental, vision, life insurance, short-term, long-term disability, and voluntary benefits such as accident, hospital indemnity, and wellness benefits. Additional 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 Visit us at Grey Matters Defense Solutions linkedin.com “Know Your Rights: Workplace Discrimination is Illegal” Questions contact: jenny.rosenberg@greymattersdefense.com All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Grey Matters Defense Solutions, LLC participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. Grey Matters Defense Solutions, LLC complies with the Colorado Artificial Intelligence Act (CAIA) and maintains policies, controls, and oversight practices designed to mitigate algorithmic discrimination, promote transparency, and ensure responsible use of AI systems in accordance with Colorado law.

Requirements

Must-haves

Job Title: Machine Learning Engineer
Clearance Required: TS/SCI
Location: Centennial, CO | Hybrid
Key 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
Required Qualifications • 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
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

Nice-to-haves

Preferred Qualifications • Knowledge of and experience with self-supervised pretraining and downstream adaptation, transfer learning, generative models, and transformers

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlpythonkubernetes

Platform: jazzhr
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

Wellness