1 day ago
New York, NY, USAIntern
Base Salary
$54 - $54/yr
Responsibilities
- Build and extend components of Addepar’s core AI platform and tooling.
- Develop AI features and reusable components leveraged by multiple product teams.
- Prototype and experiment with emerging AI/ML techniques for fintech applications.
- Collaborate with the Core AI team on projects with measurable impact.
- Participate in code reviews, model evaluations, and team ceremonies.
- Document model architecture, evaluation results, and design decisions.
- Complete a retrospective and demonstrate the summer project to an internal audience.
Requirements
- Currently enrolled in a university or other post-secondary program.
- Currently pursuing a bachelor’s or master’s degree in computer science, AI/ML, data science, or a related field; penultimate or final year is ideal but all years may apply.
- Able to commit to the full 12-week program from June 7, 2027, through August 27, 2027.
- Strong foundations in machine learning, natural language processing, or AI systems.
- Experience with Python and ML frameworks such as PyTorch, TensorFlow, or similar.
- Familiarity with LLMs, prompt engineering, RAG architectures, or AI application development.
- Strong written and verbal communication skills.
- Ability to learn in a fast-paced environment and explore novel problem spaces.
- Understanding of software engineering principles and experience working in a team.
- Passion for applying AI to real-world financial technology problems.
Benefits
- Full-time, in-person work in Addepar’s New York City office for the duration of the internship.
- 12-week internship running June 7, 2027, through August 27, 2027.
- Supporting manager, mentor, onboarding program, fun events, and company swag.
- Relocation assistance is not offered.
Categories
About Addepar
Addepar builds a SaaS platform for wealth and investment management firms to aggregate portfolio, market and client data, analyze holdings, and produce client reporting. The company sells software and data integrations used across investment operations, with APIs and a broad partner ecosystem to plug into other tools. Founded in 2009 and headquartered in New York, it is privately held and used by over a thousand firms globally to manage trillions in assets.