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Internship Machine Learning Quant Jobs in Texas (NOW HIRING)

Machine Learning Engineer

Austin, TX ยท On-site

$140K - $180K/yr

Productionizing quantitative models and analytics tools * Developing distributed data and compute ... Machine Learning Engineering โœ” MLOps Engineering โœ” Platform Engineering โœ” Software ...

Machine Learning Engineer

Addison, TX ยท On-site +1

$110K - $130K/yr

... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ... quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research ...

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 ...

Machine Learning Engineer

Irving, TX ยท On-site +1

$96K - $144K/yr

... internship, or thesis in each of the following: Java, Python, or Node.js; NLP (Scikit-Learn ... Quantitative analysis techniques, including clustering, regression, and pattern recognition;

Senior Machine Learning Engineer

Plano, TX ยท On-site

$100K - $137K/yr

Senior Machine Learning Engineer Location: Ann Arbor, Michigan Experience Level: 7+ Years ... Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative ...

Senior Machine Learning Engineer

Plano, TX ยท On-site

$100K - $137K/yr

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in ... Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative ...

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Internship Machine Learning Quant information

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 the most commonly searched types of Machine Learning Quant jobs in Texas? The most popular types of Machine Learning Quant jobs in Texas are:
What cities in Texas are hiring for Internship Machine Learning Quant jobs? Cities in Texas with the most Internship Machine Learning Quant job openings:

Machine Learning Engineer

X4 Engineering

Austin, TX โ€ข On-site

$140K - $180K/yr

Other

Posted 17 days ago


Job description

๐Ÿš€ Machine Learning Engineer

๐Ÿ“ Austin, TX (Hybrid/Remote Considered)

๐Ÿ’ฐ $140,000 - $180,000 Base


We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to join a highly technical platform engineering team supporting traders, analysts, and quantitative researchers.


This is not a pure data science role. We're looking for an engineer who enjoys building robust production systems, scaling data and ML infrastructure, and working closely with front-office stakeholders to deliver real business impact.


What you'll be doing:

  • Building and maintaining ML and data platforms used for forecasting, optimization, and trading workflows
  • Designing scalable cloud-native infrastructure and deployment pipelines
  • Productionizing quantitative models and analytics tools
  • Developing distributed data and compute systems
  • Working directly with traders and business users to deliver reliable solutions
  • Driving engineering best practices across CI/CD, observability, testing, and automation


Tech stack includes:

Python | AWS | Kubernetes | Docker | Terraform | Airflow | Spark | MLflow | Databricks | Kafka | CI/CD

We're interested in people from backgrounds such as:

โœ” Machine Learning Engineering

โœ” MLOps Engineering

โœ” Platform Engineering

โœ” Software Engineering (with ML/Data exposure)

โœ” Quant Development

โœ” Infrastructure Engineering


Ideal candidates will have strong Python skills, cloud and DevOps experience, and a track record of building production systems. Experience within energy, trading, forecasting, or quantitative environments is beneficial but not essential.


If you'd like to learn more, please send me a message or apply directly.


They prefer the role to be worked on a hybrid model of 1-2 days a week. Salary offered is $140,000-$180,000.