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Parspec

AI-native platform for construction materials procurement

Applied AI Engineer Intern

Applied Machine LearningConfirmed live in the last 24 hours
InternshipSan Mateo, CA, USANo salary listed

About the Job

Requirements

  • Currently enrolled in a United States-based, degree-seeking Bachelor's, Master's, or PhD program in Engineering, Computer Science, or a related field.
  • Have strong familiarity with core machine learning and artificial intelligence concepts and tooling, including model training with LoRA or QLoRA, model evaluation, embeddings, retrieval-augmented generation systems, and agentic frameworks such as LangGraph or CrewAI.
  • Have strong familiarity with ranking and recommendation techniques.
  • Have hands-on experience applying artificial intelligence or machine learning to real-world projects, including working with imperfect data, making tradeoffs, and iterating based on results.
  • Have strong analytical and problem-solving skills.
  • Be able to work effectively in ambiguous problem spaces with guidance and mentorship.
  • Have clear written and verbal communication skills for technical and non-technical audiences.

Responsibilities

  • Contribute to artificial intelligence-driven initiatives from problem framing through experimentation and implementation.
  • Build, prototype, evaluate, and iterate on models and artificial intelligence-powered workflows used in customer-facing product features.
  • Partner with Senior Applied AI Engineers and Product Managers to translate real customer problems into clear technical approaches and tradeoffs.
  • Analyze structured and unstructured data, including product specifications, documents, and metadata, to improve model performance.
  • Document assumptions, results, and learnings to support cross-functional alignment and decision-making.

Desired Qualifications

  • Have exposure to B2B SaaS products, especially workflow-heavy or operations-focused software.
  • Have an interest in or exposure to construction industry workflows, including materials procurement.

About the Company

Parspec

AI-native platform for construction materials procurement

Parspec builds an AI-native platform and digital infrastructure for the construction materials supply chain. It helps distributors, reps, and project teams discover, buy, and sell construction products using product intelligence, AI-powered workflows, and a connected ecosystem. It differentiates itself with an end-to-end AI-enabled ecosystem tailored for construction materials, backed by a network of 300+ ME P distributors and rep agencies to streamline bidding and procurement. Its goal is to lay the foundation for a more intelligent, efficient construction supply chain, enabling faster bids, more closed deals, and higher profitability for project-driven businesses.

Company size
51-200
Company stage
Series A
Total funding
$31.5M
Headquarters
San Leandro, CA
Founded
2020

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