Artificial Intelligence Accelerator Intern

RealReal
San Francisco
Workplace: RemotePart timeUSD 55 - 60 hourlyFunction: Data Science & Machine LearningSkills: ["Communication","Problem-solving","Technical initiative","Collaboration"]

Design, build, and deploy production-ready AI tools during a 10-week AI Accelerator program. You’ll engineer and prototype custom AI models to improve operations, integrate enterprise AI capabilities into existing workflows, and enhance data pipelines for scalable deployment. Partner across teams to advise on best practices and advanced prompting techniques, then demonstrate impact with measurable efficiency gains for executive stakeholders.

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FursaFursa
RealReal
RealReal
12 hours ago

Artificial Intelligence Accelerator Intern

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Design, build, and deploy production-ready AI tools during a 10-week AI Accelerator program. You’ll engineer and prototype custom AI models to improve operations, integrate enterprise AI capabilities into existing workflows, and enhance data pipelines for scalable deployment. Partner across teams to advise on best practices and advanced prompting techniques, then demonstrate impact with measurable efficiency gains for executive stakeholders.
Location: San Francisco
Workplace: Remote
Employment Type: Part time
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Engineer, prototype, and deploy custom AI models and automated tools to address high-value operational challenges.
  • •Review and integrate enterprise AI capabilities into existing architecture and workflows to optimize performance and automation.
  • •Evaluate and prepare data pipelines and information structures to support scalable model deployment.
  • •Advise cross-functional teams on AI tool usage, best practices, and advanced prompting to accelerate adoption.
  • •Develop strategies and roadmaps to ensure deployed AI tools scale effectively, and demonstrate measured impact to executives.

Pay and Benefits

Salary: USD 55 - 60 hourly

Key Requirements

  • •Currently enrolled Bachelor’s, Master’s, or PhD student majoring in Computer Science, Artificial Intelligence, or a related technical field.
  • •Strong machine learning fundamentals, including supervised/unsupervised learning, model evaluation, and neural networks/language modeling.
  • •Ability to translate complex technical concepts into clear, actionable insights for diverse stakeholders.
  • •Strong interest in applying AI to solve real-world problems and drive operational efficiency.
  • •Preferred: Experience building LLM-based applications using RAG, vector databases (e.g., Pinecone, Milvus), and advanced prompt engineering.
Education:
Skills:CommunicationProblem-solvingTechnical initiativeCollaboration
Tech Stack:PythonStreamlitFastAPIFlaskAWSGCPAzureDockerPineconeMilvusRAGVector databasesSQLNoSQLMachine learningNeural networksLanguage modeling

Company Brief

RealReal
Operates an online luxury consignment marketplace for buying and selling authenticated pre-owned designer fashion, jewelry, watches, and home goods. It combines e-commerce with authentication, pricing, and logistics services for sellers and shoppers.
Industry: Online Marketplaces
Company Size: Large (251 to 1,000 employees)
Revenue: USD 100M to 250M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2011
Glassdoor
Glassdoor: 3.3
WebsiteLinkedInGlassdoor