Applied AI Engineer Intern at Parspec in San Mateo, CA

Summary: Parspec is revolutionizing the materials supply chain for the construction industry by digitizing and organizing product data. The Applied AI Engineer Intern will apply modern AI and machine learning techniques to solve real-world problems, working closely with the AI team to enhance product features and workflows. 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 Required 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 Required Skills: Machine Learning, AI Techniques, Data Analysis Important Skills: Model Training, Recommendations Techniques Nice-to-Have Skills: Problem-Solving Skills, Communication Skills Benefits: 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