M1 Technology, LLC is seeking a Technical SETA SME - Natural Language Processing to join one of our subsidiaries in Bethesda, Maryland.
Clearance Requirement: TS/SCI with Polygraph
Required Qualifications:
- Bachelor’s degree in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software)
- Eight (8) or more years of work experience in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software), including:
- Systems engineering and integration experience in complex, data‑intensive environments
- Knowledge of AI/ML (computer vision, NLP, predictive analytics, LLMs)
- Demonstrated experience with NLP methodologies such as text classification, named entity recognition, topic modeling, information extraction, or transformer‑based architectures
- Experience developing or evaluating NLP pipelines, including text preprocessing, tokenization strategies, model training, fine‑tuning, and optimization for mission environments
- Understanding of data architectures and pipelines for large‑scale analytics/intelligence production
- Familiarity with AI governance, data quality, bias mitigation, and mission assurance in operational NLP/LLM deployments
- Experience creating program plans, work breakdown structures, and milestone schedules
Preferred Qualifications:
- Master’s degree or PhD in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software) with FOUR (4) or more years of work experience
- Experience in the Intelligence Community (IC), including requirements, CONOPS, and transition
- Experience managing a multi-disciplinary R&D or T&E team
- Experience as a Project Manager or Deputy Project Manager
- Experience with NLP development tools or frameworks such as Hugging Face, PyTorch, TensorFlow, spaCy, or similar libraries
- Ability to proactively manage multiple, concurrent tasks
- Excellent writing, slide development, and editing skills, including the ability to develop succinct, comprehensive, and understandable documents using complex data from multiple sources for technical and non-technical audiences
- Strong organizational, problem-solving, and time-management skills; detail oriented
