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AI Intern, Long​/Short at Point

Job in New York, New York County, New York, 10261, USA
Listing for: Wayne State University
Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-07-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Python, Software & AI Developer Internship
Salary/Wage Range or Industry Benchmark: 130000 USD Yearly USD 130000.00 YEAR
Job Description & How to Apply Below
Position: 2026 AI Intern, Long/Short at Point72
Location: New York

A Career with Point
72's L/S Equities Team

Long/Short Equity is Point
72’s core strategy and its success is dependent upon our sector-based investing teams. Using fundamental research, our research analysts inform the investment strategies of our portfolio managers. Through our Point
72 University, you have access to an unparalleled training and coaching curriculum to help foster your success. We offer you a clear path based on your abilities, willingness to work hard, and performance. Join us if you're looking for a career at the forefront of investing.

what you’ll do
  • Gain exposure to researching generative AI and code-assistant tools to for potential equity research workflows within the L/S Equities team in our New York office
  • Support prototyping and iterating on AI-driven tools that surface investment insights and automate manual tasks
  • Assist with implementing AI models and integrating coding-focused tools into developer workflows
  • Evaluate model outputs, run basic experiments, and measure solution impact
  • Collaborate with investment professionals and internal data teams to understand data needs, access sources, and translate requirements into technical tasks
  • Help identify repetitive processes and scope opportunities for automation within research and analyst workflows
  • Document prototypes, maintain reproducible code, and present findings to the team
SUMMER INTERNSHIP PROGRAM AT POINT
72

In addition to the learning and development you'll receive in your day-to-day role with your team, as a part of our summer internship program you will:

  • Work alongside your fellow interns and be mentored by experienced professionals
  • Meet your peers through designated intern programming, volunteer opportunities, and social events
  • Attend sessions with senior leaders discussing their expertise and career paths
  • Get hands‑on access to best‑in‑class tools and resources
  • Gain exposure to groups and functions with unique responsibilities and perspectives on our industry
  • Develop technical, writing, and presentation skills
WHAT'S REQUIRED
  • Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, or a closely related field
  • Hands‑on programming experience in Python and familiarity with SQL or equivalent data query languages
  • Practical experience implementing or integrating AI models or AI APIs into applications
  • Demonstrated experience using coding-focused developer tools and AI code assistants, explicitly including Cursor and Codex
  • Ability to identify manual or repetitive workflows and propose concrete automation opportunities
  • Experience collaborating with data teams or data engineers to access, validate, and instrument datasets
  • Strong problem‑solving skills, curiosity about AI tools, and eagerness to learn in a fast‑paced team environment
  • Commitment to the highest ethical standards
ABOUT POINT
72

Point
72 is a leading global alternative investment firm led by Steven

A. Cohen. Building on more than 30 years of investing experience, Point
72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor‑led culture and committing to our people's long‑term growth. For more information, visit

The annual base salary is $130,000-$ (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring based upon geographic location, work experience, education, and/or skill level, among other things.

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