Machine Learning Engineer

• 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

• 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

• 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

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
https://www.linkedin.com/company/grey-matters-defense-solutions/

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Questions contact: [email protected]

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.