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Machine Learning Researcher – PhD Intern

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: Quant Blueprint LLC
Apprenticeship/Internship position
Listed on 2026-06-18
Job specializations:
  • Research/Development
    Data Scientist, Artificial Intelligence
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Artificial Intelligence, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 40000 - 50000 USD Yearly USD 40000.00 50000.00 YEAR
Job Description & How to Apply Below
Position: Machine Learning Researcher – 2026 PhD Intern (US)

At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, the goal of this team is to leverage and tailor state‑of‑the‑art machine learning and AI algorithms to modernize the quantitative trading industry. We’re looking for extraordinary and highly motivated researchers who are excited about solving challenging problems and iterating in a fast‑paced environment.

As an intern, you’ll get to challenge the impossible in research through an 11‑week program that will allow you to collaborate and connect with senior team members. In addition, you’ll get the opportunity to network and socialize with peers throughout the internship.

Location:

Miami.

Your Objectives
  • Use statistics, machine learning or AI (e.g. deep learning, NLP) to extract patterns from various kinds of datasets through innovative and rigorous research.
  • Implement algorithms in high‑quality code.
  • Work with large data sets, including unconventional and unstructured data sources.
  • Back‑test models and document research findings.
Your Skills & Talents
  • PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field.
  • Advanced training and strong research track record in statistics, machine learning, AI, or another highly quantitative field.
  • Hands‑on programming experience in scripting (e.g. Python) and/or compiled languages (e.g. C++).
  • A background demonstrating strong problem‑solving skills.
  • An ability to communicate advanced concepts in a concise and logical way.
  • Proficiency in creating and using algorithms to meticulously investigate and work through large data or error‑checking problems.
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