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Internship Machine Learning Finance Jobs in New York

Pangram

Machine Learning Engineer (Junior)

New York, NY · On-site

$135K - $150K/yr

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build ... Practical experience with deep learning: internships, undergrad or masters' level research projects ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... Adapt techniques from your area of expertise to achieve breakthrough results in the financial ...

Crowe LLP

Machine Learning Intern

New York, NY

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... Adapt techniques from your area of expertise to achieve breakthrough results in the financial ...

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... Build and maintain data pipelines that move financial data from storage into training workflows ...

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... Build and maintain data pipelines that move financial data from storage into training workflows ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site

$112K - $147K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Design, implement, and evaluate statistical and machine learning models for explaining and predicting patterns in vast amounts of financial data, including financial documents. Write production code ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Capital One

Sr. Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

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Showing results 41-60

All JobsMachine Learning Finance JobsInternship Machine Learning Finance JobsInternship Machine Learning Finance Jobs in New York

Internship Machine Learning Finance information

What is an internship machine learning finance?

Internship Machine Learning Finance positions are temporary roles where students or recent graduates work with financial organizations to apply machine learning techniques to solve finance-related problems. Interns may analyze large datasets, build predictive models, automate trading strategies, or detect fraud using machine learning algorithms. These internships provide hands-on experience in both finance and artificial intelligence, helping interns develop technical and industry-specific skills. They often require a background in programming, statistics, and a basic understanding of financial concepts.

What types of projects do interns typically work on in a machine learning finance internship?

As a Machine Learning Finance intern, you can expect to work on a variety of projects that blend quantitative analysis with practical financial applications. Common responsibilities include developing predictive models for stock prices or credit risk, analyzing large financial datasets, and building tools to automate trading strategies or detect fraud. Interns often collaborate closely with data scientists, software engineers, and finance professionals, gaining exposure to both technical and business aspects of the field. This hands-on experience is invaluable for building real-world skills and understanding the fast-paced finance environment.

What are the key skills and qualifications needed to thrive as an intern in machine learning finance, and why are they important?

To thrive as an Intern in Machine Learning Finance, you need a foundational understanding of statistics, programming (especially Python or R), and financial concepts, often supported by progress toward a quantitative degree. Familiarity with machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), data analysis tools, and version control systems like Git is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication help you translate technical results into actionable financial insights. These skills are critical for developing robust models, supporting data-driven decision-making, and contributing meaningfully within interdisciplinary finance teams.

What is the difference between Internship Machine Learning Finance vs Data Analyst Intern?

AspectInternship Machine Learning FinanceData Analyst Intern
Required SkillsProgramming (Python, R), Machine Learning, Finance knowledgeData analysis, SQL, Excel, basic statistics
Work EnvironmentFinance firms, tech-driven finance teamsFinancial institutions, consulting firms, tech companies
Industry UsageFinance, Fintech, Quantitative researchFinance, marketing, consulting

Internship Machine Learning Finance focuses on applying machine learning techniques to financial data, requiring programming and finance knowledge. Data Analyst Internships involve analyzing data sets, creating reports, and using statistical tools. Both roles are common in finance-related industries but differ in technical focus and skill requirements.

What are the most commonly searched types of Machine Learning Finance jobs in New York?

The most popular types of Machine Learning Finance jobs in New York are:

What are popular job titles related to Internship Machine Learning Finance jobs in New York?

For Internship Machine Learning Finance jobs in New York, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning Finance jobs in New York look for?

The top searched job categories for Internship Machine Learning Finance jobs in New York are:

What cities in New York are hiring for Internship Machine Learning Finance jobs?

Cities in New York with the most Internship Machine Learning Finance job openings:

Internship Machine Learning Finance jobs near you
Infographic showing various Internship Machine Learning Finance job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer (Junior)

Pangram

New York, NY • On-site

$135K - $150K/yr

Full-time

Posted 15 days ago

Job description

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build software to support the machine learning development cycle from data generation, to training models, to deployment and monitoring production machine learning systems in real customer environments.
At Pangram, ML engineers are highly involved in the research effort, are involved in publishing research, and regularly contribute ideas and innovations to the team. However, formal research experience is not necessary. This is an in-person role in our office in Downtown Brooklyn, NYC.
Responsibilities:
  • Build robust data pipelines that mine the Internet at scale and generate millions of synthetic text examples for training detection models
  • Manage distributed infrastructure for multi-GPU LLM training
  • Profiling and optimizing training and inference code
  • Deploy efficient inference pipelines for serving LLMs at scale

Requirements:
  • B.S. or M.S. in Computer Science or related areas
  • Practical experience with deep learning: internships, undergrad or masters' level research projects in an academic lab, Kaggle competitions, or interesting side projects
  • Strong programming skills in Python and modern ML frameworks
  • Excellent understanding of transformers and LLM fundamentals
  • Comfort working across research and engineering boundaries

Nice to have
  • Experience with NVIDIA GPU programming and CUDA
  • Experience with distributed training frameworks, such as DeepSpeed, FSDL, Ray
  • Experience with inference frameworks like vLLM
  • Experience with large-scale data processing (Spark, Beam) and orchestration (Airflow)
  • Experience with MLOps and experiment tracking
  • Experience with DevOps tools
  • Familiarity with cloud-based infrastructure (AWS/GCP)

Apply