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Assistant Machine Learning Quant Jobs in Texas (NOW HIRING)

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 ...

New

PayPal

Machine Learning Engineer

Austin, TX

Essential Responsibilities: * Assist in the development and optimization of machine learning models ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...

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 ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Our team builds self-driving solutions from the ground up, with machine learning at the core of our ... assist with the application or hiring process, or to perform the essential functions of a job ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · 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 ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · 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 ...

CVS Health

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

Machine learning algorithms; Feature engineering, model training, hyperparameter tuning ... Quantitative analysis techniques, including clustering, regression, and pattern recognition;

Pratt Industries

Assistant Machine Operator

Cedar Hill, TX

$14.50 - $17.25/hr

Will be responsible for assisted the Machine Operator maximize the utilization of equipment by ... Learning environment to learn as many job duties to assist with plant growth and personal and ...

Pratt Industries

Assistant Machine Operator

Cedar Hill, TX · On-site

$14.50 - $17.25/hr

Will be responsible for assisted the Machine Operator maximize the utilization of equipment by ... Learning environment to learn as many job duties to assist with plant growth and personal and ...

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Assistant Machine Learning Quant information

What are Assistant Machine Learning Quants?

Assistant Machine Learning Quants are entry-level professionals in quantitative finance who support senior quants by applying machine learning techniques to analyze financial data, build predictive models, and develop trading strategies. Their responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They work closely with quantitative researchers and traders to improve algorithmic trading systems and risk management processes. This role typically requires strong programming skills, a solid understanding of machine learning concepts, and familiarity with financial markets.

How does an Assistant Machine Learning Quant typically collaborate with senior quants and data scientists on projects?

As an Assistant Machine Learning Quant, you will often work closely with senior quantitative researchers and data scientists by supporting model development, data preprocessing, and feature engineering tasks. You may contribute to brainstorming sessions, implement prototypes, and assist in backtesting trading strategies or risk models. This collaborative environment provides valuable mentorship opportunities and exposure to best practices in quantitative analysis and machine learning within the finance industry. Effective communication and a willingness to learn from senior team members are key to success in this role.

What are the key skills and qualifications needed to thrive as an Assistant Machine Learning Quant, and why are they important?

To thrive as an Assistant Machine Learning Quant, you need strong quantitative skills, a background in statistics or mathematics, and typically a degree in a STEM field. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial modeling tools are essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These competencies enable accurate model development, efficient data analysis, and clear collaboration with team members in high-stakes financial environments.
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 are popular job titles related to Assistant Machine Learning Quant jobs in Texas? For Assistant Machine Learning Quant jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Assistant Machine Learning Quant jobs in Texas look for? The top searched job categories for Assistant Machine Learning Quant jobs in Texas are:
What cities in Texas are hiring for Assistant Machine Learning Quant jobs? Cities in Texas with the most Assistant Machine Learning Quant job openings:
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Infographic showing various Assistant Machine Learning Quant job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Machine Learning Engineer

X4 Engineering

Austin, TX • On-site

$140K - $180K/yr

Other

Posted 2 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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