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

Sr Machine Learning Engineer

Austin, TX · On-site

$55.25 - $73/hr

Develop and optimize machine learning models for various applications ... Preprocess and analyze large datasets to extract meaningful insights. * Deploy ML solutions into ...

Guiding the development of machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data. * Raising insights, opportunities, challenges, and ...

Sr. Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

As a Senior Machine Learning Engineer, you'll take a leading technical role in building the ... Collaborate with cross-functional teams - product, ML, data engineering, frontend, and analytics ...

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Machine Learning Analyst information

See Austin, TX salary details

$30.7K

$72.6K

$128.8K

How much do machine learning analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning analyst in Austin, TX is $72,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $86,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Analyst position, and why are they important?

To thrive as a Machine Learning Analyst, you need strong analytical skills, a solid grasp of statistics and programming languages such as Python or R, and typically a degree in computer science, mathematics, or a related field. Experience with machine learning frameworks like TensorFlow or scikit-learn, data visualization tools such as Tableau, and relevant certifications (e.g., Google Data Analytics) are often expected. Excellent problem-solving, collaboration, and communication abilities help you explain complex results and work effectively with cross-functional teams. Together, these skills ensure you can accurately interpret data, build robust models, and present actionable insights that drive organizational growth.

What is a Machine Learning Analyst job?

A Machine Learning Analyst is responsible for analyzing data, building models, and extracting insights using machine learning techniques. They work with large datasets, clean and preprocess data, and apply statistical methods to drive business decisions. Their role often involves collaborating with data scientists, engineers, and business teams to optimize predictive models. Strong programming skills in Python or R, knowledge of machine learning frameworks, and experience with data visualization are essential for this role.

What are typical projects or tasks a Machine Learning Analyst handles on a daily basis?

Machine Learning Analysts commonly work on tasks such as collecting, cleaning, and analyzing large datasets, developing predictive models, and interpreting results to generate actionable business insights. They may also collaborate closely with data engineers, software developers, and business stakeholders to translate business problems into data-driven solutions. Regular responsibilities include preparing data visualizations, running experiments to improve model performance, and documenting their findings for non-technical audiences. This hands-on work in a team-oriented environment ensures that their analyses directly contribute to key business decisions and continuous improvement.

Is ML a high paying job?

Machine Learning Analysts typically earn above-average salaries compared to many other roles in data science and technology, with compensation often increasing with experience, skills in programming, and knowledge of tools like Python or TensorFlow. The field is considered well-paying due to high demand for expertise in AI and data analysis across industries.

What does a machine learning analyst do?

A machine learning analyst develops and implements algorithms to analyze data and build predictive models. They work with large datasets, use programming languages like Python or R, and often utilize machine learning frameworks to extract insights and support decision-making.

Can I learn ML in 3 months?

A Machine Learning Analyst role requires a solid understanding of programming, statistics, and data analysis. While it is possible to acquire foundational knowledge in three months with intensive study and practical projects, mastering the skills typically takes longer and depends on prior experience and learning pace.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors with extensive experience and specialized skills. These positions often involve leadership, strategic decision-making, and advanced expertise in AI tools, programming languages, and large-scale data management. Compensation at this level reflects significant responsibility and industry demand for top talent in artificial intelligence and machine learning fields.
What job categories do people searching Machine Learning Analyst jobs in Austin, TX look for? The top searched job categories for Machine Learning Analyst jobs in Austin, TX are:
Infographic showing various Machine Learning Analyst job openings in Austin, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $72,600 per year, or $34.9 per hour.
Sr Machine Learning Engineer

Sr Machine Learning Engineer

PayPal

Austin, TX • On-site

$55.25 - $73/hr

Full-time

Medical, PTO

Re-posted 4 days ago


PayPal rating

6.8

Company rating: 6.8 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

17th of 20 rated payment service providers


Job description

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

This job is responsible for independently validating and providing oversight of high-impact statistical, machine learning, and AI models across key business areas such as credit, fraud, marketing, and collections. It involves assessing model soundness, data quality, and performance to identify and mitigate model risk, while collaborating with developers and business partners on remediation and improvement. The position also supports AI and model risk governance to ensure compliance with PayPal's enterprise risk framework and evolving regulatory standards.

Job Description:

Essential Responsibilities:

  • Develop and optimize machine learning models for various applications.
  • Preprocess and analyze large datasets to extract meaningful insights.
  • Deploy ML solutions into production environments using appropriate tools and frameworks.
  • Collaborate with cross-functional teams to integrate ML models into products and services.
  • Monitor and evaluate the performance of deployed models.

Minimum Qualifications:

  • 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
  • Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
  • Several years of experience in designing, implementing, and deploying machine learning models.

Additional Responsibilities & Preferred Qualifications:

  • Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field.
  • Strong knowledge of statistical and machine learning techniques, including but not limited to logistic regression, time-series modeling, random forests, support vector machines, gradient boosting (e.g., XGBoost), and deep learning architectures (e.g., CNNs, RNNs).
  • Proficiency in programming and big-data technologies, with hands-on experience in tools such as Python (Scikit-learn, TensorFlow), SQL, Hadoop, and Spark.
  • Relevant modeling experience in one or more of the following domains: credit risk scoring, fraud detection, financial forecasting, or marketing analytics - gained through industry or academic research.
  • Strong collaboration and communication skills, with the ability to work effectively both independently and as part of a cross-functional team.
  • Ability to articulate complex technical concepts clearly to non-technical stakeholders and build constructive working relationships across functions.

Preferred Qualifications

  • Experience with Large Language Models (LLMs), Agentic AI, or related generative AI applications.
  • Familiarity with model governance, model risk management, or AI regulatory compliance frameworks (e.g., SR 11-7, OCC 2011-12, EU AI Act) is a plus.

Subsidiary:

PayPal

Travel Percent:

0

-

The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:

Primary Location | Pay Range:

Chicago, Illinois | ($145,000.00 - $215,050.00 Annually)

Additional Location(s) | Pay Range:

San Jose, California | ($159,500.00 - $236,500.00 Annually) Austin, Texas | ($145,000.00 - $215,050.00 Annually) Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most.We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Belonging at PayPal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.


What PayPal employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


PayPal logo

About PayPal

Sourced by ZipRecruiter

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1998

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