Systems Engineering Intern, Compliance Coverage ML
- Design and implement effective prompt engineering strategies to guide LLMs in generating actionable responses for Systems compliance tasks.
- Develop Python code to interact with LLM APIs, access databases, and process inputs/outputs.
- Collaborate with the team to build a deployable user interface and evaluate the tool’s effectiveness through iterative testing/refinement.
- Regularly present progress, findings, and challenges to the project team.
- Pursuing a Bachelors, Masters, or Doctoral degree in Systems Engineering, Computer Science, Robotics, or a related field.
- Experience in Artificial Intelligence (AI), Machine Learning (ML) with a focus on prompting Large Language Models (LLMs), and reviewing and evaluating outputs to ensure quality and interpretability.
- Ability to analyze the intent and applicability of laws, regulations, ordinances, acts, statutes, etc. in the scope of a specific system.
- Strong problem solving, programming, and data analytics skills in Python and SQL.
- Understanding of the Vehicle/Transportation Code (driving laws) of any US state.
- Experience with configuration management tools for requirements, documentation, and software (such as Jama, Polarion, Jira, Confluence, Git).
- Utilized Retrieval-Augmented Generation (RAG) techniques to enhance LLM outputs through connected databases.
- Experience using LLMs in regulatory environments.
- Familiarity with neural network and natural language processing (NLP) architectures.
- Familiarity with ML applications and techniques, such as pre-processing, classification, and categorization tasks.
- Ability to apply systems engineering concepts of requirements, verification, and validation.
- Front-end/UI development experience.
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