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Internship Machine Learning Quant Jobs in Manhattan, NY

D. in Computer Science, Mathematics, EE, Physics, or a related quantitative field with a focus on Scientific Machine Learning (SciML). * Deep Learning Frameworks: 4+ years of expert-level experience ...

D. in Computer Science, Mathematics, EE, Physics, or a related quantitative field with a focus on Scientific Machine Learning (SciML). * Deep Learning Frameworks: 4+ years of expert-level experience ...

RESPONSIBILITIES This role involves developing software and machine learning algorithms for use in ... in quantitative analysis based on data science; 2 years of experience in Python programming ...

Collaborate with quantitative analysts to translate trading strategies into ML systems * Optimize ... MS or PhD in Computer Science, Machine Learning, or related field * Track record of deploying ML ...

Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...

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Internship Machine Learning Quant information

See Manhattan, NY salary details

$28.1K

$47K

$97.1K

How much do internship machine learning quant jobs pay per year?

As of Sep 4, 2026, the average yearly pay for internship machine learning quant in Manhattan, NY is $46,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,900.00 and $50,800.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are the most commonly searched types of Machine Learning Quant jobs in Manhattan, NY?

The most popular types of Machine Learning Quant jobs in Manhattan, NY are:

What are popular job titles related to Internship Machine Learning Quant jobs in Manhattan, NY?

For Internship Machine Learning Quant jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning Quant jobs in Manhattan, NY look for?

The top searched job categories for Internship Machine Learning Quant jobs in Manhattan, NY are:

What cities near Manhattan, NY are hiring for Internship Machine Learning Quant jobs?

Cities near Manhattan, NY with the most Internship Machine Learning Quant job openings:

Infographic showing various Internship Machine Learning Quant job openings in Manhattan, NY as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 11% Full Time, 86% Part Time, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $46,996 per year, or $22.6 per hour.

Machine Learning Researcher - PhD Intern (US)

Citadel

Manhattan, NY • On-site

$4.5K - $5.8K/wk

Other

Re-posted 19 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.