Machine Learning Researcher – 2026 PhD Intern (US)

Quant Blueprint LLC; Miami (FL); On-site; USD 40,000 - 50,000; Part time

Job summary

Quant Blueprint LLC in Miami is seeking a motivated intern to join our quantitative research team. This 11-week program offers the chance to solve challenging problems using statistics and machine learning while collaborating with experienced researchers.

The ideal candidate will have a PhD in a quantitative field and demonstrate strong programming skills in Python or C++. This internship also provides networking opportunities within the industry.

Qualifications

• PhD degree in a quantitative field.
• Advanced training in statistics or machine learning.
• Hands-on programming experience in Python or C++.

Responsibilities

• Use statistics and AI to extract patterns from data.
• Implement algorithms in high-quality code.
• Work with large datasets and back-test models.

Skills

Statistics

Machine Learning

AI

Programming in Python

Problem-Solving Skills

Education

PhD in mathematics, statistics, physics, computer science, or another highly quantitative field

Tools

C++

Job description

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.