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Machine Learning Finance Jobs in Austin, TX (NOW HIRING)

Visa

Machine Learning Engineer- Senior Consultant Level

Austin, TX · On-site

$173K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... financial institutions and government entities across more than 200 countries and territories ... As a Machine Learning Engineer at the Senior Consultant/Senior Manager level, you will design and ...

Upstart

Principle Software Engineer, Pricing

Austin, TX · On-site

$195.30 - $270.40/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for a seasoned technical leader with a passion for machine learning, finance, experimentation, and distributed systems. If this sounds exciting, we would love to hear from you. How you ...

Roku

Senior Machine Learning Engineer, Voice Assistant

Austin, TX · On-site

$121K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Good understanding of machine learning fundamentals like regression, classification, ranking ... Our comprehensive benefits include global access to mental health and financial wellness support ...

Visa

Senior Director- Machine Learning

Austin, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... financial institutions and government entities across more than 200 countries and territories ... Experience with Generative AI and Machine Learning is essential. Prior background in payments and ...

Visa

Senior Director- Machine Learning

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... financial institutions and government entities across more than 200 countries and territories ... Experience with Generative AI and Machine Learning is essential. Prior background in payments and ...

Visa

Senior Director- Machine Learning

Foster City, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... financial institutions and government entities across more than 200 countries and territories ... Experience with Generative AI and Machine Learning is essential. Prior background in payments and ...

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Showing results 21-40

All JobsMachine Learning Finance JobsMachine Learning Finance Jobs in Austin, TX

Machine Learning Finance information

See Austin, TX salary details

$24.8K

$91.8K

$134.3K

How much do machine learning finance jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning finance in Austin, TX is $91,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $108,000.00 per year, depending on experience, location, and employer.

Can machine learning be used in finance?

Machine learning finance roles involve applying algorithms to analyze financial data, detect patterns, and make predictions for trading, risk management, and fraud detection. Professionals in this field often use tools like Python, R, and specialized libraries, and require strong statistical and programming skills. These applications improve decision-making and operational efficiency in financial institutions.

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.

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 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 the most commonly searched types of Machine Learning Finance jobs in Austin, TX?

The most popular types of Machine Learning Finance jobs in Austin, TX are:

What are popular job titles related to Machine Learning Finance jobs in Austin, TX?

For Machine Learning Finance jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Finance jobs in Austin, TX look for?

The top searched job categories for Machine Learning Finance jobs in Austin, TX are:

What cities near Austin, TX are hiring for Machine Learning Finance jobs?

Cities near Austin, TX with the most Machine Learning Finance job openings:

Machine Learning Finance jobs near you
Infographic showing various Machine Learning Finance job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $91,795 per year, or $44.1 per hour.

Machine Learning Engineer- Senior Consultant Level

Visa

Austin, TX • On-site

$173K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Visa rating

8.6

Company rating: 8.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

5th of 21 rated payment service providers

Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.
Job Description
As a Machine Learning Engineer at the Senior Consultant/Senior Manager level, you will design and develop integrated software algorithms to structure, analyze, and leverage data in product and systems applications across both structured and unstructured environments. You will use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others to develop and evaluate algorithms that improve product/system performance, quality, data management, and accuracy. Rigorous validation and identification of logical flaws via sound machine learning practices are essential to support the post-deployment phase integrity and accuracy of solutions.
You will translate algorithms and technical specifications into code using current programming languages and technologies. The role includes designing and implementing methods for adaptive learning (self-learning models) with controls on effectiveness, methods for explaining model decisions where necessary, model validation, and A/B testing of models.
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities:
  • Develop and program integrated software algorithms for product and systems applications in both structured and unstructured environments.
  • Apply machine language and statistical modeling techniques to improve product/system performance, quality, data management, and accuracy.
  • Conduct rigorous validation and identify logical flaws using sound machine learning practices.
  • Translate algorithms and technical specifications into code using current programming languages and technologies.
  • Design and implement methods for adaptive learning, model validation, A/B testing, and explainability of model decisions.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
  • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD.
  • Experience in developing and programming integrated software algorithms for structured and unstructured data environments.
  • Ability to program in one or more scripting languages such as Rust or Python and one or more programming languages such as Java, C++ or C#.
  • Advanced Generative AI Experience/Usage

Preferred Qualifications:
  • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
  • Bachelor's Degree in Computer Science, Operations Research, Statistics or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
  • Experience in applying statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others.
  • Experience in rigorous validation and identification of logical flaws in machine learning solutions.
  • Experience in translating algorithms and technical specifications into code using current programming languages and technologies.
  • Experience in designing and implementing adaptive learning methods, model validation, and A/B testing.
  • Experience in explaining model decisions and ensuring post-deployment integrity and accuracy.
  • Experience in working with large datasets and modern big data and ML/AI technologies.
  • Experience in relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks.
  • Experience with one or more common statistical tools such as SAS, R, KNIME, Matlab.
  • Deep learning experience with TensorFlow is a plus.

U.S. Applicants Only
The estimated salary range for this position is $173,000.00 to $ 276,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

What Visa employees say

Pay

Benefits

Hours and flexibility

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About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958

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