Applied AI Engineer Intern - Real-World ML in Construction

AItoolnavio; San Mateo (CA); Hybrid; USD 27,000 - 40,000; Full time

Benefits offered by this job

Competitive stipend

Mentorship from leaders

Flexible hybrid work

Hands-on product ownership

Job summary

Parspec is seeking an Applied AI Engineer Intern to join our AI team and work with Product and Engineering on real-world AI applications. You'll apply modern AI techniques to product problems like specifications understanding and recommendations, learning how AI systems are designed, built, evaluated, and shipped in practice.

This internship offers hands-on experience with imperfect industry data and customer-facing workflows, in a flexible hybrid environment that supports collaboration and

Qualifications

• Enrolled in a US degree program in engineering or CS.
• Strong ML/AI fundamentals and tooling knowledge.
• Experience with AI projects and imperfect data.
• Analytical problem-solving skills.

Responsibilities

• Contribute to AI-driven initiatives from framing through experimentation and implementation.
• Prototype, evaluate, and iterate on AI-powered workflows for customer features.
• Collaborate with Senior AI Engineers and Product Managers to translate customer problems into technical approaches.
• Analyze structured and unstructured data to improve model performance.
• Document assumptions, results, and learnings for cross-functional alignment.

Skills

ML concepts

LoRA/QLoRA

embeddings

RAG systems

LangGraph

CrewAI

ranking methods

Education

US-degree-seeking student

Tools

Job description

Parspec is seeking an Applied AI Engineer Intern to join our AI team and work with Product and Engineering on real-world AI applications. You'll apply modern AI techniques to product problems like specifications understanding and recommendations, learning how AI systems are designed, built, evaluated, and shipped in practice.

This internship offers hands-on experience with imperfect industry data and customer-facing workflows, in a flexible hybrid environment that supports collaboration and