2027 AI Initiatives PhD Internship
$62,400–$62,400 year
HybridLa Jolla, California, United States
Job Summary
Design and iterate on LLM-powered pipelines for document processing tasks including structured data extraction, RAG system design, and prompt engineering. Build and optimize quantitative models and end-to-end data pipelines using Python and SQL for large-scale financial data extraction and transformation. Analyze large financial datasets to surface investment insights across StepStone's private markets portfolio. Document technical findings and communicate results to both technical teammates and non-technical investment stakeholders. This summer internship is a great opportunity to gain practical experience in harnessing AI and machine learning to transform private markets investment research.
Required Qualifications
- Pursuing a Ph.D. in Mathematics, Physics, Econometrics, Statistics, Engineering, or a related quantitative field
- Ability to work in-person in our La Jolla during the 2027 summer intern program and work part time remotely during the 2028 Fall semester
- Strong Python coding skills with experience in data pipelines and quantitative modeling
- SQL proficiency
- demonstrated ability to work with large, messy real-world datasets
- Candidates must be at least 18 years old to apply
Desired Qualifications
- Experience or coursework in AI/ML (LLMs, NLP, data retrieval, vector embeddings)
- Strong problem-solving skills with a detail-oriented, hands-on approach to work
- Team-oriented and adaptable—able to balance independent work with collaborative projects
- Open to feedback and continuous improvement, with a strong intellectual curiosity
- Familiarity with cloud data platforms (e.g. Snowflake, Azure), vector databases, or workflow orchestration tools (e.g. Airflow)
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