AI Engineering Intern

$20 – $30/hrPosted 6 days agoLinkedIn

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Fine-tune LLMs using modern adaptation methods (e.g., parameter-efficient fine-tuning) and maintain training recipes.
Design and implement LLM evaluation suites for instruction following, factuality, safety, and domain constraints.
Build agentic evaluations: measure task success, tool-call correctness, multi-step reliability, and recovery behavior.
Create regression tests and run automated evals in CI to prevent quality drift across releases.
Instrument experiments (traces, metrics, datasets) and communicate results clearly in concise write-ups.
Assist in special projects.
Support business initiatives as assigned by manager.
Job shadowing.
Learning skills related to industry.
Attend meetings with various teams.

Strong Python skills and solid ML fundamentals (training loops, debugging, evaluation methodology).
Familiarity with transformer-based LLMs and common tooling (e.g., Hugging Face ecosystem or similar).
Proficiency using AI coding assistants (e.g., Cursor, Claude Code, Codex) to accelerate development while maintaining code quality.
Comfort reasoning about metrics, trade-offs, and dataset bias; ability to write clean, testable code.

Currently pursuing a BS/MS/PhD in Computer Science, Engineering, Statistics, or a related field (or equivalent experience).