ZipRecruiter

Log In

1

Internship Machine Learning Finance Jobs (NOW HIRING)

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

The Machine Learning Researcher should be interested in Financial Markets, and will be directly involved in advancing the company's Data Analysis and Machine Learning capabilities. They'll be working ...

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

The Machine Learning Researcher should be interested in Financial Markets, and will be directly involved in advancing the company's Data Analysis and Machine Learning capabilities. They'll be working ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX

$184K - $277K/yr

As a machine learning engineer in Finance, you'll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX

$184K - $277K/yr

As a machine learning engineer in Finance, you'll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for ...

Q2 India

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... Our mission is simple: build strong and diverse communities through innovative financial technology ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About Poesis Whoever builds the leading intelligence for finance will create far more than returns ... About the Role At Poesis, machine learning and artificial intelligence open the door to improved ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

Desired Qualifications * 2-8+ years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing-or a strong recent graduate with ...

Visa Hunt

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be ... We're looking for an exceptional Machine Learning Engineer to help shape the future of our core ...

previous page

Showing results 41-60

All Jobsinternship JobsTechnology JobsInternship Machine Learning Finance Jobs

Internship Machine Learning Finance information

See salary details

$11

$19

$26

How much do internship machine learning finance jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for internship machine learning finance in the United States is $19.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.36 per hour, depending on experience, location, and employer.

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.

More about Internship Machine Learning Finance jobs

What cities are hiring for Internship Machine Learning Finance jobs?

Cities with the most Internship Machine Learning Finance job openings:

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

The most popular types of Machine Learning Finance jobs are:

What states have the most Internship Machine Learning Finance jobs?

States with the most job openings for Internship Machine Learning Finance jobs include:

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

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

Internship Machine Learning Finance jobs near you
Infographic showing various Internship Machine Learning Finance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,299 per year, or $19.9 per hour.

Sr. Machine Learning Engineer - Finance

Apple Inc.

Austin, TX • On-site

$110 - $150/hr

Other

Re-posted 2 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Austin, Texas, United States Corporate Functions

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and curiosity to your job and there's no telling what you could accomplish. Do you love thinking analytically? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders. As a machine learning engineer in Finance, you’ll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for Apple’s Finance organization.

Description

This role will require you to be collaborative by learning intra-team and business process in order to build infrastructure and services to enable an effective Machine Learning practice. You will help lead the charge by developing a strong ML Ops process in a dynamic Finance environment where you will deal with unique challenges specific to Finance organizations, such as SOX and regulatory compliance. Your ability to instill and proliferate strong software engineering practices into team data science and machine learning processes will be critical.

Responsibilities
  • Build and operationalize AI solutions in Apple Finance
  • Partner with teammates and share expertise across teams
  • Explain technical concepts to non-technical audiences
  • Collaborate effectively with cross-functional teams
  • Instill strong engineering practices into team machine learning processes
  • Rapidly and reliably deliver value to the Finance organization
Minimum Qualifications
  • Undergraduate degree (computer science, data science, finance, economics, accounting, or related business discipline) with seven years demonstrated experience
  • Experience building data models and scalable pipelines using SQL and big data technologies, with expertise in data ops best practices
  • Experience developing in Python while following DRY principles, modularity, and testing standards, with version control, code review.
  • Experience applying ML algorithms for regression, classification, and anomaly detection; build generative AI and agentic solutions; implement MLOps/LLMOps including CI/CD, drift monitoring, and cloud platforms (AWS, GCP, Azure)
  • Ability to explain technical details to non-technical audiences
  • Understands and advocates version control, test driven development and strong CI/CD process
Preferred Qualifications
  • Graduate degree (computer science, data science, math, quantitative finance, or similar discipline) with five years experience
  • Previous experience working in a corporate finance, accounting, or supply chain organization
  • Understanding of or ability to learn financial statements, P&L impact, high level accounting principles, SOX and tax compliance and month-end close process
  • Experience with front end (.js experience)

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace.

Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.

#J-18808-Ljbffr

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

View All Apple Jobs

Apply