Responsibilities
- Contribute to AI initiatives from problem framing through experimentation and implementation.
- Build, prototype, evaluate, and iterate on models and AI-powered workflows for customer-facing product features.
- Partner with Senior Applied AI Engineers and Product Managers to translate customer problems into technical approaches and tradeoffs.
- Analyze structured and unstructured data, including product specifications, documents, and metadata, to improve model performance.
- Document assumptions, results, and learnings for cross-functional alignment and decision-making.
Requirements
- Currently enrolled in a US-based, degree-seeking Bachelor's, Master's, or PhD program in Engineering, Computer Science, or a related field.
- Strong familiarity with core ML/AI concepts and tooling, including model training with LoRA or QLoRA, evaluation, embeddings, RAG systems, and agentic frameworks such as LangGraph or CrewAI.
- Strong familiarity with ranking and recommendation techniques.
- Hands-on experience applying AI or machine learning to real-world projects involving imperfect data, tradeoffs, and iteration 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: exposure to B2B SaaS products, especially workflow-heavy or operations-focused software.
- Preferred: interest in or exposure to construction industry workflows, including materials procurement.
Benefits
- Competitive stipend for the duration of the internship.
- Hands-on ownership of meaningful product work with direct customer impact.
- Mentorship from experienced Product, Design, and Engineering leaders.
- Flexible hybrid work environment supporting in-office collaboration and focused remote work.
- Exposure to a fast-growing AI-powered B2B SaaS company and real-world product decision-making.
- Learning and professional development opportunities through regular feedback and collaboration.
Categories
About Parspec
Parspec is building the AI and digital infrastructure for the construction materials supply chain. Construction is a $15 trillion industry, yet the systems that underpin the buying and selling of materials remain fragmented, manual, and disconnected. Distributors and rep agencies rely on spreadsheets, PDFs, phone calls, and siloed tools to find new products and quote and manage projects — creating delays, errors, and margin erosion across the supply chain. Parspec is an AI-native platform that powers how construction products are discovered, bought, and sold. Trusted by more than 300 MEP distributors and rep agencies, Parspec helps project-driven businesses bid faster, win more work, and operate more profitably. By combining product intelligence, AI-powered workflows, and a connected ecosystem, Parspec is laying the foundation for a more intelligent, efficient construction supply chain. Founded in 2021 and headquartered in San Mateo, California, Parspec has raised $31 million from leading deep-tech and construction-technology investors.