2027 AI Initiatives PhD Internship
San Diego, San Diego County, California, 92189, USA
Listed on 2026-08-07
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering, Data Scientist
The team you'll join
Step Stone'sAI Initiatives team focuses on harnessing AI and machine learning to transform privatemarketsinvestment research. The team spans the entire AI project lifecycle—fromidentifyinghigh-impact use cases to deploying production-ready solutions—integratingcutting-edge technologies like LLMs, NLP, and advanced quantitative methods to drive strategic outcomes across portfolio analysis, investment performance, and risk assessment.
About the roleStep Stone is seeking highly analytical and technically skilled interns to join the AI Initiatives team. This role is best suited for candidates who combine strong Python and quantitative skills with hands-on experience in LLM application development. Interns will work on production-oriented projects involving LLM pipeline design, structured data extraction, and quantitative modeling to support investment research.
What you ll doInterns will design, build, and iterate on LLM-powered solutions—including structured data extraction pipelines, RAG systems, and AI-assisted investment research tools. You ll work hands-on with large financial datasets, applying quantitative modeling and statistical analysis to support investment performance research across Step Stone’s privatemarketsportfolio.
Key responsibilities- Design and iterate on LLM-powered pipelines for document processing tasks such as structured data extraction, RAG system design, prompt engineering, and LLM-output evaluation.
- 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 and apply quantitative modeling to surface investment insights.
- Document technical findings, model design decisions, and pipeline architecture; communicate results clearly to both technical teammates and non-technical investment stakeholders.
- 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 required, with demonstrated ability to work with large, messy real-world datasets.
- Experience or coursework in AI/ML (LLMs, NLP, data retrieval, vector embeddings) is highly preferred.
- 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, witha strong intellectual curiosity.
- Familiarity with cloud data platforms (e.g. Snowflake, Azure), vector databases, or workflow orchestration tools (e.g. Airflow) is a plus.
- Willingness to contribute at all levels—whether tackling complex modeling orassistingwith data prep, no task is too small.
At Step Stone, we foster a supportive and inclusive team culture where collaboration and learning are the core of what we do. Our collegial atmosphere encourages teamwork, mentorship, and professional development. This summer internship isa great opportunity to gain practical experience and develop critical skills that will help you launch a successful career inprivate markets.
Salary: $30 / hour
The salary is an estimate of pay for this position. Actual pay may vary depending on job-related factors that can include location, education, skill, and experience. The salary does not include any benefits or other forms of possible compensation that may be available to employees.
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Equal OpportunityAt Step Stone, we believe that our people are our most important asset and crucial to our success. We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or tenure. Our organizational community features multiple Employment Resource Groups as well as mentorship programs to enhance the employee experience for all.
As an Equal Opportunity Employer, Step Stone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law.
Candidates must be at least 18 years old to apply.
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