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

Charles Schwab Corporation

Senior Data Scientist

Austin, TX · On-site

$180 - $240/hr

... financial planning. Schwab's AI & Data Science organization helps shape the future of client and employee experiences through advanced analytics, machine learning, and generative AI. As a Senior AI ...

Charles Schwab Inc.

Senior Data Scientist

Austin, TX · On-site

$155K - $200K/yr

... financial planning. Schwab's AI & Data Science organization helps shape the future of client and employee experiences through advanced analytics, machine learning, and generative AI. As a Senior AI ...

Charles Schwab

Senior Data Scientist

Austin, TX

... financial planning. Schwab's AI & Data Science organization helps shape the future of client and employee experiences through advanced analytics, machine learning, and generative AI. As a Senior AI ...

Apple

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Description • Work closely with data scientists, machine learning engineers, software engineers ... finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and ...

Apple

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Description • Work closely with data scientists, machine learning engineers, software engineers ... finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and ...

NR Consulting

Gen AI Consultant

Austin, TX · On-site

The role involves building and releasing NLP/AI software, particularly in the finance domain, and requires experience in developing scalable systems for machine learning and deep learning models.

YETI Coolers LLC

Finance Systems Manager

Austin, TX · On-site

Experience implementing or supporting AI, machine learning, or automation solutions within finance or enterprise systems * Ability to translate between business and technical teams * Excellent ...

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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 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.

Senior Machine Learning Scientist, Advertising

Roku, Inc.

Austin, TX • On-site

$120 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago

Key responsibilities

  • Apply research and conduct original research to develop state-of-the-art deep learning discriminative models for advertising applications.

  • Work on solving complex problems related to conversion modeling, attribution, calibration, creative optimization, forecasting, and experimentation.

  • Stay updated with advancements in relevant areas of machine learning and deep learning.

Job description

Teamwork makes the stream work. Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

About the team

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform real‑time multi‑objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape we continuously evolve over time.

About the role

In this role you will work on applying SOTA research and conduct your own research to develop novel methodologies to solve a large variety of challenging problems in Advertising related to conversion modeling aligned with attribution methodologies/models, calibration, dynamic creative generation and optimization, forecasting and timeseries modeling, yield and margin optimization and experimentation for A/B and multivariate testing.

We’re looking for a strong technical leader with a solid grasp of core statistical techniques and deep experience in SOTA deep learning discriminative and generative models.

What you’ll be doing
  • Applying research and conducting your own research to build SOTA deep learning discriminative models
  • Stay at the forefront of advancements in related areas
We’re excited if you have
  • PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field
  • 8+ years of experience in applied research using statistical and deep learning techniques
  • Published paper(s) on deep learning models for Advertising or related areas
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Experience in the Advertising domain
  • Contributions to open‑source ML projects
Our Hybrid Work Approach

Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It’s important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

Accommodations

Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.

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