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Machine Learning Phd Research Jobs (NOW HIRING)

Citadel

$4.5K - $5.8K/wk

Machine Learning Researchers play a key role in this mission by developing next-generation models ... You'll get to challenge the impossible in quantitative research by applying sophisticated and ...

Citadel Securities

$4.5K - $5.8K/wk

As an intern, you'll get to challenge the impossible in research through an 11 week program that ... Use statistics, machine learning or AI (e.g. deep learning, NLP) to extract patterns from various ...

Citadel Securities

$4.5K - $5.8K/wk

As an intern, you'll get to challenge the impossible in research through an 11 week program that ... Use statistics, machine learning or AI (e.g. deep learning, NLP) to extract patterns from various ...

Trading Interview

Research and develop deep learning models to generate and enhance systematic trading signals and ... PhD in computer science, machine learning, mathematics, physics, statistics, or a related field

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Machine Learning Phd Research information

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$80K

$99.8K

$135.5K

How much do machine learning phd research jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning phd research in the United States is $99,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $115,500.00 per year, depending on experience, location, and employer.

What cities are hiring for Machine Learning Phd Research jobs?

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Infographic showing various Machine Learning Phd Research job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $99,840 per year, or $48 per hour.

Machine Learning Researcher - PhD Intern (US)

Miami, FL

Citadel
See more jobs at Citadelexternal

$112.50 - $145/hr

Full-time

Re-posted 24 days ago

Job description

Job Description

At Citadel, our mission is to be the most successful investment team in the world. Machine Learning Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

Your Objectives

  • Use statistics, machine learning (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 a strong research track record in machine learning, statistics, deep learning, natural language processing, artificial intelligence, or a closely related quantitative field
  • Prior experience working in a data driven detailed research environment
  • Hands on programming experience in Python or 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

Opportunities available in New York, Miami, Greenwich, and Houston.

In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.

About Citadel

Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.

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