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

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 ...

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 ...

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 ...

Koch Industries

Machine Learning Engineer

Austin, TX · On-site

$170K - $250K/yr

Your Job The ML Engineer will build physics-informed surrogate models on Azure Machine Learning ... We provide essential resources and support to build and maintain physical, financial, and emotional ...

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Our comprehensive benefits include global access to mental health and financial wellness support ...

Upstart

Principle Software Engineer, Pricing

Austin, TX · On-site

$195.30 - $270.40/hr

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 ...

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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 Sep 4, 2026, the average yearly pay for machine learning finance in Austin, TX is $91,817.00, 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.

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.

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 91% Full Time, and 9% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $91,817 per year, or $44.1 per hour.

Sr. Machine Learning Engineer - Finance

Apple Inc.

Austin, TX • On-site

$110 - $150/hr

Other

Re-posted 17 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th 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.

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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

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