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Internship Machine Learning Quant Jobs in Austin, TX

Machine Learning Engineer This job will validate and develop machine learning models and algorithms ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, or ...

This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...

Permanent Quant Research Analyst (Houston) Anson McCade are working with a Portfolio Manager based ... Machine Learning experience is preferred * An advanced degree, preferably a Master's degree or ...

Conduct quantitative and qualitative model validation in line with internal Model Risk Management ... deploying machine learning models for business applications (1 year). 6. Experience extracting ...

Sr Machine Learning Engineer

Austin, TX · On-site

$55.25 - $73/hr

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 ...

Sr Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

PayPal, Inc. seeks Sr Machine Learning Engineer in Austin, TX Job Duties: Evaluate and validate ... Perform comprehensive quantitative and qualitative model validation in alignment with internal ...

Sr Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

PayPal, Inc. seeks Sr Machine Learning Engineer in Austin, TX Job Duties: Evaluate and validate ... Perform comprehensive quantitative and qualitative model validation in alignment with internal ...

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Internship Machine Learning Quant information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do internship machine learning quant jobs pay per year?

As of Jun 21, 2026, the average yearly pay for internship machine learning quant in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are popular job titles related to Internship Machine Learning Quant jobs in Austin, TX? For Internship Machine Learning Quant jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Quant jobs in Austin, TX look for? The top searched job categories for Internship Machine Learning Quant jobs in Austin, TX are:
What cities near Austin, TX are hiring for Internship Machine Learning Quant jobs? Cities near Austin, TX with the most Internship Machine Learning Quant job openings:
Machine Learning Engineer

Machine Learning Engineer

PayPal

Austin, TX

Other

Posted 3 days ago


PayPal rating

6.8

Company rating: 6.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

16th of 18 rated payment service providers


Job description

Machine Learning Engineer

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Essential Responsibilities:

  • Assist in the development and optimization of machine learning models.
  • Preprocess and analyze datasets to ensure data quality.
  • Collaborate with senior engineers and data scientists on model deployment.
  • Conduct experiments and run machine learning tests.
  • Stay updated with the latest advancements in machine learning.

Minimum Qualifications:

  • 1+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
  • Familiarity with ML frameworks like TensorFlow or scikit-learn.
  • Strong analytical and problem-solving skills.

Additional Responsibilities & Preferred Qualifications :

  • Support the lead of the team in performing oversight of high-impact statistical model and AI applications in a variety of business function areas, including but not limited to fraud detection, credit underwriting, marketing analytics etc.
  • Conduct quantitative and qualitative model validation according to Model Risk Management Policy to identify and understand model risk issues
  • Collaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvements
  • Perform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal's AI applications are compliant with ever evolving regulatory expectation such as Responsible AI. 

Qualifications

  • An advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering essential
  • Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs)
  • Possessing advanced coding skills in dealing with big data (e.g., Scikit-learn in Python, Tensorflow, Hadoop, Spark , SQL, etc.)
  • Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics obtained either in academic or financial industry
  • Ability to work effectively both independently and in a team environment
  • Ability to communicate effectively and establish constructive relationship with stakeholders

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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