Applied AI Engineer Intern: Real-World ML for Construction

parspec.io; San Mateo (CA); Hybrid; USD 36,000 - 47,000; Full time

Benefits offered by this job

Competitive stipend

Ownership of meaningful product work

Mentorship from leaders

Flexible hybrid work environment

Exposure to fast‑growing AI‑powered B2

Real‑world product decision making

Professional development

Job summary

Parspec is seeking an Applied AI Engineer Intern to join the AI team and work with Product and Engineering on real‑world AI applications for the construction industry.

You will apply modern AI/ML techniques to product problems like understanding specifications, improving recommendations, and exploring agentic AI workflows while learning how AI systems are designed, built, and shipped in production.

Qualifications

• Currently enrolled in a US‑based degree program in Engineering, CS or related fields.
• Strong familiarity with core ML/AI concepts and tooling like model training and evaluation.
• Experience with ranking and recommendations techniques and systems.
• Hands‑on experience applying AI to real projects with imperfect data.
• Strong analytical and problem‑solving skills and ability to work in ambiguity.
• Clear written and verbal communication for both technical and non‑technical audiences.

Responsibilities

• Contribute to AI initiatives from framing to experimentation and implementation.
• Build, prototype, evaluate, and iterate AI workflows in customer features.
• Collaborate with Senior Engineers and Product Managers to translate problems into approaches.
• Analyze structured and unstructured data to improve model performance.
• Document assumptions, results, and learnings for cross‑functional alignment.

Skills

US degree enrollment

ML/AI concepts

Ranking & recommendations

Hands-on ML projects

Analytical skills

Communication skills

Ambiguity tolerance

Education

Engineering/CS degree

Tools

LoRA/QLoRA

Embeddings

RAG systems

LangGraph

CrewAI

Job description

Parspec is seeking an Applied AI Engineer Intern to join the AI team and work with Product and Engineering on real‑world AI applications for the construction industry.

You will apply modern AI/ML techniques to product problems like understanding specifications, improving recommendations, and exploring agentic AI workflows while learning how AI systems are designed, built, and shipped in production.