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Machine Learning Finance Jobs (NOW HIRING)

Jane Street

Machine Learning Engineer

New York, NY · On-site

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... About You If you've never thought about a career in finance, you're in good company. Many of us ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... About You If you've never thought about a career in finance, you're in good company. Many of us ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX · On-site

$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 · On-site

$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 ...

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 ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

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 ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning ... Interest in financial markets, intellectual curiosity, and comfort in working on open-ended ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning ... Interest in financial markets, intellectual curiosity, and comfort in working on open-ended ...

Q2

Machine Learning Engineer

Austin, TX · Hybrid

Our mission is simple: build strong and diverse communities through innovative financial technology ... SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

Our mission is simple: build strong and diverse communities through innovative financial technology ... SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

Our mission is simple: build strong and diverse communities through innovative financial technology ... SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

Hang draws from years of deep expertise in loyalty, game design, and finance with employees from ... This person will implement and develop machine learning models to enhance our platform ...

Focus Financial Partners

Machine Learning Engineer

$160K - $180K/yr

We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on ... Focus is a leading financial services firm comprised of integrated wealth management, family office ...

Focus Financial Partners

Machine Learning Engineer

$160K - $180K/yr

We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on ... Focus is a leading financial services firm comprised of integrated wealth management, family office ...

Manulife

Machine Learning Engineer

Boston, MA · Hybrid

$162K/yr

Machine Learning Engineer Job Duties: * Develop, build and maintain scalable data pipelines ... About Manulife and John Hancock Manulife Financial Corporation is a leading international financial ...

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Machine Learning Finance information

See salary details

$25K

$92.6K

$135.5K

How much do machine learning finance jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning finance in the United States is $92,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $109,000.00 per year, depending on experience, location, and employer.

What is a machine learning finance?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

What are some typical challenges faced by professionals in machine learning finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.

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

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

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What cities are hiring for Machine Learning Finance jobs?

Cities with the most 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 Machine Learning Finance jobs?

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Machine Learning Finance jobs near you
Infographic showing various Machine Learning Finance job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $92,631 per year, or $44.5 per hour.

Machine Learning Engineer

Jane Street

New York, NY • On-site

Full-time

Re-posted 29 days ago

Job description

About the Position
Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You'll be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done. 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 Jane Street's global business. Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. If you'd like to learn more, you can have a look at our Machine Learning page.
During the program, you'll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we're still trying to figure out, while others involve building something new. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data.
The interview process follows the same structure as our Software Engineering Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you'll have an on-site interview with 2-4 technical rounds, including 1-2 dedicated to assessing ML engineering skills.
Learn more about Jane Street's internship program here.
About You
If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you'll fit right in. We don't expect you to have a background in finance-we're more interested in how you think and learn than what you currently know. You should be:
  • An undergraduate or PhD student with practical experience training an ML model, working on an ML library, or optimizing an ML workflow
  • A top-notch programmer with a love for technology
  • Intellectually curious, collaborative, and eager to learn
  • Humble and unafraid to ask questions and admit mistakes

Apply