AI Engineering Intern

Strayer Education, Inc. • Minneapolis, MN

1d • $20 - $30

About The Position

As an AI Engineering Intern, you will improve LLM quality through fine-tuning and rigorous evaluation.You will work on reproducible training/evaluation pipelines and help the team understand what drives model quality, reliability, and cost. What You Will Do 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.

Requirements

• 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).
• Must be able to travel occasionally should a business need arise.
• Ability to work onsite in Corporate or Campus location (in a typical office environment) may be required based on role.
• If offsite or hybrid role, must have access to work in setting which enables meeting all requirements of the role (including privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
• Faculty and Federal Work Study roles require access to work in setting which enables meeting all requirements of the role (including computer, privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
• Must be able to meet critical thinking and problem solving aspects aligned to job duties, as well as effectively communicating with co-workers.
• Must be able to work more than 40 hours per week when business needs warrant.
• Able to access information using a computer.

Responsibilities

• 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.

Benefits

• SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week.
• In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts.
• Non-exempt employees are eligible for overtime pay, if applicable.

What This Job Offers

• Career Level: Intern