Artificial Intelligence Accelerator Intern

The RealReal•San Francisco, CA

About The Position

The RealReal is the world’s largest online marketplace for authenticated, resale luxury goods. With a rigorous authentication process, we are committed to extending the lifecycle of luxury items and promoting a more sustainable future for fashion. Technology and data are at the core of how we operate, and we are constantly seeking to apply the newest AI technologies to improve our operations, authentication accuracy, and customer experience. The RealReal’s Fall AI Accelerator Intern Program is a part-time opportunity that runs from October 13th-December 18th (including week-long breaks for holidays and finals). The RealReal is seeking motivated students to join our team for a 10-week AI Intern Program! This position offers a hands-on technical opportunity to design, build, and deploy production-ready AI tools that directly solve complex business challenges and drive operational efficiency. In this role, you will work actively across systems to build practical solutions, partner with teams to scale AI usage, and develop strategic roadmaps for long-term impact!

Requirements

Current Bachelor’s, Master’s, or PhD student majoring in Computer Science, Artificial Intelligence, or a related technical field from an accredited university.
Solid understanding of machine learning principles, including supervised and unsupervised learning, model evaluation, and foundational knowledge of neural networks and language modeling.
Exceptional ability to translate complex technical concepts into clear, actionable insights for diverse stakeholders.
Strong interest in applying artificial intelligence to solve real-world problems and drive operational efficiency.

Nice To Haves

Experience creating applications that leverage LLMs, including Retrieval-Augmented Generation (RAG), vector databases (e.g., Pinecone, Milvus), and advanced prompt engineering.
Experience building and deploying web applications or AI prototypes using Python frameworks (e.g., Streamlit, FastAPI, Flask) and integrating external APIs.
Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker.
Basic understanding of ETL processes, data preprocessing, and querying SQL/NoSQL databases.
A portfolio of personal AI projects, open-source contributions, or participation in ML-focused hackathons/competitions.

Responsibilities

Actively engineer, prototype, and deploy custom AI models and automated tools to address high-value operational challenges across business workflows.
Review existing architecture and workflows to integrate enterprise AI capabilities, optimizing performance, automation, and overall technical execution.
Evaluate and prepare key data pipelines and information structures to support robust, scalable model deployment and AI-driven systems.
Advise cross-functional teams on effective AI tool usage, best practices, and advanced prompting techniques to accelerate adoption and integration.
Develop strategies and long-term technical roadmaps to ensure deployed AI tools scale effectively across company operations.
Showcase deployed AI applications, measured efficiency gains, and strategic business outcomes to executive stakeholders.