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Internship Machine Learning Quant Jobs in Austin, TX

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

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

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

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 ...

PayPal

Machine Learning Engineer

Austin, TX

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 ...

Anson McCade

Quant Research Analyst

Austin, TX · On-site

$120K - $150K/yr

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 ...

PayPal

Sr Machine Learning Engineer

Austin, TX

$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 ...

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All JobsMachine Learning Quant JobsInternship Machine Learning Quant JobsInternship Machine Learning Quant Jobs in Austin, TX

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 Jul 13, 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:
Internship Machine Learning Quant jobs near you

Machine Learning Engineer

X4 Engineering

Austin, TX • On-site

$140K - $180K/yr

Other

Posted 19 days ago

Job description

🚀 Machine Learning Engineer

📍 Austin, TX (Hybrid/Remote Considered)

💰 $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:

✔ Machine Learning Engineering

✔ MLOps Engineering

✔ Platform Engineering

✔ Software Engineering (with ML/Data exposure)

✔ Quant Development

✔ 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.

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