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Ml Infrastructure Engineer Jobs in Texas (NOW HIRING)

Platform Infrastructure Engineer

Austin, TX · On-site

$106K - $139K/yr

They are seeking an Infrastructure Engineer to design, build, and maintain the infrastructure for ... Preferred : • Experience building and scaling AI/ML infrastructure. Company : Future Secure AI ...

Senior AI/ML Engineer, AV ML Infra We'reGeneral Motors (GM), a company driving the future of ... Our ML infrastructure includes: * AI Validation & Inference: Ensures robust model performance by ...

Infrastructure Engineer

Austin, TX · On-site

$140 - $220/hr

A collaborative communicator who can work with hardware and ML engineers and explain infrastructure trade‑offs clearly. * Bachelor's degree in computer science, a related field, or equivalent ...

A collaborative communicator who can work with hardware and ML engineers and explain infrastructure trade-offs clearly. * Bachelor's degree in computer science, a related field, or equivalent ...

Lead AI Infrastructure Engineer

Austin, TX

$101K - $133K/yr

You will decide and influence the ML infrastructure layer across the company. The biggest challenge ... Programming experience in multi-threaded environments - multiple processes, threads, timers, and ...

Lead AI Infrastructure Engineer

Austin, TX · On-site

$101K - $133K/yr

You will decide and influence the ML infrastructure layer across the company. The biggest challenge ... Programming experience in multi-threaded environments - multiple processes, threads, timers, and ...

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Showing results 1-20

Ml Infrastructure Engineer information

See Texas salary details

$43.3K

$118.4K

$169.6K

How much do ml infrastructure engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ml infrastructure engineer in Texas is $118,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $131,400.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What job categories do people searching Ml Infrastructure Engineer jobs in Texas look for?

The top searched job categories for Ml Infrastructure Engineer jobs in Texas are:

What cities in Texas are hiring for Ml Infrastructure Engineer jobs?

Cities in Texas with the most Ml Infrastructure Engineer job openings:

Infographic showing various Ml Infrastructure Engineer job openings in Texas as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $118,382 per year, or $56.9 per hour.

ML Infrastructure Engineer - Remote, High-Impact

Stackruit Ltd.

Austin, TX • On-site

$106K - $139K/yr

Other

Medical

Posted 4 days ago


Job description

Be a Machine Learning Infrastructure Hero at Quora! (Remote-friendly!)
Do you love solving large-scale problems using machine learning (ML)? Help Quora, a massive knowledge-sharing platform, build the future of its ML infrastructure!

Quora’s mission is to share the world’s knowledge. Their platform connects millions of users with information and AI language models like GPT-4 and Claude 3.

In this role, you’ll join a small, talented team to build and maintain the systems that power Quora’s ML models.

You’ll be responsible for:

  • Designing, building, and maintaining large-scale distributed systems for the entire ML workflow (data, training, deployment, serving).
  • Creating services using popular open-source tools like Kubernetes, TensorFlow, and PyTorch.
  • Taking ownership of critical infrastructure, fixing production issues, and being on-call to support the team.
  • Collaborating with ML engineers to help them be more effective.

You’re a great fit if you have:

  • 2+ years of experience building and managing ML or data science systems.
  • Strong coding skills in Python, C++, or a similar language.
  • A bachelor’s or master’s degree in computer science, engineering, or a related field.

Bonus points if you have:

  • Experience working with ML teams and containerized infrastructure (Kubernetes, Docker, Terraform).
  • Hands-on experience with AWS cloud technologies.
  • Excellent communication and interpersonal skills.

Why Quora?

  • Make a real impact on a platform used by millions.
  • Work on cutting-edge ML projects with a small, collaborative team.
  • Enjoy a comprehensive benefits package (health insurance, remote work perks, and more).
  • Remote-friendly work environment (depending on location).

Ready to tackle exciting challenges and build the future of ML at Quora? Apply today!

#MachineLearning #AI #Infrastructure #Engineering #Quora

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