Applied AI Engineer Intern

Parspec
San Mateo, CA
HybridCareer-pivot friendly

Who this role is best for

Geared toward students comfortable with applying AI to complex industry data and working on customer-facing product workflows, with a preference for those familiar with B2B SaaS and construction materials procurement.

Best fit for

  • Students with hands-on AI experience in real-world, messy data environments
    — “applying AI to complex, messy industry data and customer-facing product workflows”
  • Candidates with strong ML/AI technical skills and a focus on practical implementation
    — “Strong familiarity with core ML/AI concepts and tooling, such as model training(LoRA/QLoRA) and evaluation, embeddings, RAG systems, agentic frameworks like LangGraph, CrewAI or related techniques.”
  • Individuals who enjoy translating customer problems into technical approaches
    — “Partner with Senior Applied AI Engineers and Product Managers to translate real customer problems into clear technical approaches and tradeoffs”

Things to consider

  • The internship requires a US-based degree-seeking program enrollment
    — “Currently enrolled in a US-based, degree-seeking program (Bachelor’s, Master’s, or PhD) in Engineering, Computer Science, or related fields”
  • The role involves working with imperfect data and balancing tradeoffs
    — “working with imperfect data, making tradeoffs, and iterating based on results”

How to stand out

  • Highlight experience with agentic AI frameworks like LangGraph or CrewAI
    — “agentic frameworks like LangGraph, CrewAI or related techniques”
  • Emphasize projects involving ranking and recommendation systems
    — “Strong familiarity with ranking and recommendations techniques”
  • Showcase ability to document assumptions and results clearly for cross-functional teams
    — “Document assumptions, results, and learnings to support cross-functional alignment and decision-making”
  • Demonstrate comfort with ambiguous problem spaces through specific examples
    — “Ability to work effectively in ambiguous problem spaces with guidance and mentorship”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Individual

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful AI-driven initiatives
  • improved product recommendations
Typical background
AI engineeringmachine learning

Skills & requirements

Required

AI EngineeringMachine LearningModel TrainingData Analysis

Preferred

Agentic AIRecommendation Systems

Stack & domain

AIMachine LearningModel TrainingEmbeddingsRAG SystemsAgentic FrameworksRankingRecommendationsProblem SolvingTeamworkCommunicationProject ManagementConstructionMaterials Supply ChainProduct Data

About the role

Original posting from Parspec via Ashby

ABOUT PARSPEC

Founded in 2021, Parspec is revolutionizing the materials supply chain for the $13 trillion USD construction industry by digitizing and organizing the industry's product data. Our proprietary AI technology maintains a current and comprehensive catalogue of millions of products, enabling our customers to identify products that best meet their needs–instantly. Trusted by top designers, builders, distributors, manufacturers, and sales agents, and backed by leading venture investors, Parspec is paving the way for a more innovative, connected, and sustainable future in construction.

Join us in building transformative technology that reshapes one of the world’s oldest and largest industries.

THE OPPORTUNITY

We’re seeking an Applied AI Engineer Intern to join Parspec. This role is part of the AI team and works closely with Product and Engineering on fast-moving, real-world applications of AI.

As an intern, you’ll apply modern AI and machine learning techniques to concrete product problems, such as understanding product specifications, improving product recommendations, and exploring early agentic AI workflows, while learning how AI systems are designed, built, evaluated, and shipped in the real world.

This is an ideal role for a student who wants hands-on experience applying AI to complex, messy industry data and customer-facing product workflows.

WHAT YOU WILL ACHIEVE AND KEY RESPONSIBILITIES

  • Contribute to AI-driven initiatives, from problem framing through experimentation and implementation
  • Build, prototype, evaluate, and iterate on models and AI-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 (e.g., product specifications, documents, metadata) to improve model performance
  • Document assumptions, results, and learnings to support cross-functional alignment and decision-making

WHY THIS MATTERS

Construction remains one of the world’s largest and least digitized industries. Construction teams rely on manual workflows to interpret product specifications, identify suitable materials, compare options, and make procurement decisions. Parspec applies AI to power workflows that help stakeholders evaluate products, surface better options, and act with confidence. As an Applied AI Engineer Intern, your work will directly support these capabilities and the decisions they enable.

WHO YOU ARE

You’re excited about applying AI to real-world problems that don’t come neatly packaged. You enjoy breaking down complex systems, working with imperfect data, and experimenting to find practical solutions. You’re curious, technically grounded, and comfortable collaborating with Product and Engineering partners to balance model performance, system constraints, and customer impact.

Qualifications

  • Currently enrolled in a US-based, degree-seeking program (Bachelor’s, Master’s, or PhD) in Engineering, Computer Science, or related fields
  • Strong familiarity with core ML/AI concepts and tooling, such as model training(LoRA/QLoRA) and evaluation, embeddings, RAG systems, agentic frameworks like LangGraph, CrewAI or related techniques.
  • Strong familiarity with ranking and recommendations techniques.
  • Hands-on experience applying AI or machine learning to real-world projects, including working with imperfect data, making tradeoffs, and iterating based on results
  • Strong analytical and problem-solving skills
  • Ability to work effectively in ambiguous problem spaces with guidance and mentorship
  • Clear written and verbal communication skills for technical and non-technical audiences.

Preferred Qualifications

  • Exposure to B2B SaaS products, especially workflow-heavy or operations-focused software
  • Interest in or exposure to construction industry workflows, including materials procurement

WHAT WE OFFER

  • Competitive stipend for the duration of the internship
  • Hands-on ownership of meaningful product work that directly impacts customers
  • Mentorship from experienced Product, Design, and Engineering leaders
  • Flexible hybrid work environment to support both in-office collaboration and focused remote work
  • Exposure to a fast-growing AI-powered B2B SaaS company and real-world product decision-making
  • Opportunities for learning and professional development through regular feedback and collaboration

JOIN US AND LEAD THE TRANSFORMATION!

At Parspec, we recognize that traditional job descriptions don’t always capture the full range of your unique abilities—and that’s perfectly okay. You may not meet every requirement, but if you bring a mix of experiences, fresh perspectives, and a passion that aligns with our mission, we want to hear from you!

The Parspec team believes that varied backgrounds drive better outcomes and fuel innovation. We are a team of self-starters who lead from every seat. We think big, set a standard of excellence, and are committed to diversity and a discrimination-free workplace. We welcome applicants from all walks of life to join us and help shape the future of our industry.

Source: Parspec careers (Ashby)

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