Technical SETA SME - Natural Language Processing

M1 Technology • Bethesda, MD

15h • Onsite

About The Position

M1 Technology, LLC is seeking a Technical SETA SME - Natural Language Processing to join one of our subsidiaries in Bethesda, Maryland. This role requires a TS/SCI with Polygraph clearance.

Requirements

• 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)
• TS/SCI with Polygraph clearance

Nice To Haves

• 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

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior