Applied AI and autonomy Individual role
DOD
This is an individual role: a single cleared specialist joins the delivery team directly.
AI/ML Research Scientist - LLMs for Structured Data
Delivered by Ridgeline AI, a brand of Element 29 LLC.
- Location
- Remote · Remote OK
- Commitment
- Part time
- Period
- Research concept phase with potential follow-on development
Seeking an AI/ML specialist to help design methods that combine large language models with statistical machine learning for domain-aware interpretation of structured datasets. The work focuses on turning tabular or schema-based data into richer analytical context while preserving rigor, explainability, and measurable performance.
What you'd do
- Develop approaches that pair LLM-based contextual reasoning with statistical ML models
- Design experiments for structured data interpretation, feature enrichment, and domain adaptation
- Evaluate model performance, uncertainty, robustness, and explainability across representative datasets
- Prototype workflows that connect data preprocessing, model training, inference, and validation
- Prepare technical concepts, research plans, and results summaries for review
What we're looking for
- Strong background in machine learning, applied statistics, or computational data science
- Hands-on experience with LLMs, embeddings, transformers, or retrieval-augmented methods
- Experience working with structured data such as tabular, relational, time-series, or graph datasets
- Ability to design reproducible experiments and communicate technical tradeoffs clearly
- Python proficiency with common ML frameworks such as PyTorch, TensorFlow, scikit-learn, or similar
Capabilities
Machine Learning
Large Language Models
Structured Data
Applied Statistics
Model Evaluation
Feature Engineering
Domain Adaptation
Explainable AI
Python
Research Prototyping
Member detail
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