Parspec

Applied AI Engineer Intern

Parspec

internship

Posted on:

Location Type: Hybrid

Location: San Mateo • California • United States

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Job Level

Entry Level

About the role

  • 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

Requirements

  • 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.
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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningartificial intelligencemodel trainingLoRAQLoRAembeddingsRAG systemsLangGraphCrewAIranking techniques
Soft Skills
analytical skillsproblem-solving skillscommunication skillsability to work in ambiguitycollaborationadaptabilitycritical thinkingdecision-makingmentorshipcross-functional alignment