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Machine Learning Ai Jobs in Austin, TX (NOW HIRING)

Roku

Senior Machine Learning Engineer

Austin, TX

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning ...

Q2

Machine Learning Engineer

Austin, TX

  • Medical

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Q2 India

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

  • Medical

The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

  • Medical

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

TalentPros.AI

Staff Machine Learning Engineer

Austin, TX

$120K - $550K/yr

Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll transform groundbreaking research into real ...

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning ...

Avride

Machine Learning Engineer

Austin, TX · On-site

The role involves developing and optimizing machine learning models, managing large-scale datasets ... AI. • At least three years of experience developing neural network-based algorithms, including ...

webAI

Director of Applied AI

Austin, TX · On-site

Every leader in this company is hands-on. • 8+ years of experience in applied machine learning, AI engineering, or related fields, with at least 3 years in a leadership role. • Proven track ...

AtOrchard LLC

Machine Learning Engineer

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI & Machine Learning Development * Develop machine learning capabilities for evaluating large volumes of ocean exploration data and streaming video. * Design, develop, test, and refine algorithms ...

New

Cloudera

Staff Software Engineer - AI

Austin, TX · Hybrid

  • PTO

You will be responsible for helping design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create ...

Cloudera, Inc.

Staff Software Engineer - AI

Austin, TX · On-site

  • PTO

You will be responsible for helping design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX

$80K - $93K/yr

* Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline * Works with data and software engineering team to integrate ...

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Showing results 1-20

All JobsMachine Learning Ai JobsMachine Learning Ai Jobs in Austin, TX

Machine Learning Ai information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do machine learning ai jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning ai 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 are the key skills and qualifications needed to thrive as a machine learning AI?

To thrive as a Machine Learning AI Engineer, you need a strong background in mathematics, statistics, programming (typically Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as cloud platforms and data processing tools, is essential, and certifications in these areas can be advantageous. Strong problem-solving, communication, and collaboration skills help you effectively translate business needs into technical solutions and work well within multidisciplinary teams. These skills ensure you can develop robust AI models that address real-world challenges and deliver meaningful business impact.

What is a machine learning AI?

A Machine Learning AI specialist is a professional who develops algorithms and models that enable computers to learn from and make predictions or decisions based on data. They work with large datasets, train and evaluate machine learning models, and often collaborate with software engineers and data scientists to integrate AI solutions into products and services. Their work is crucial in fields like natural language processing, computer vision, and predictive analytics, helping organizations automate tasks, gain insights, and improve efficiency.

What are some common challenges faced when collaborating with cross-functional teams as a machine learning AI?

As a Machine Learning AI professional, you’ll often collaborate with data engineers, software developers, and product managers. A common challenge is bridging the gap between complex AI models and practical business requirements, ensuring your solutions are both technically sound and aligned with user needs. Effective communication is key, as you’ll need to explain technical concepts to non-technical stakeholders and adapt your models based on feedback. Building trust and fostering a collaborative environment will help ensure successful project outcomes and foster continual learning.

What is the difference between Machine Learning Ai vs Data Scientist?

AspectMachine Learning AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with programming and algorithmsDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, training models, deploying AI systemsAnalyzing data, creating reports, interpreting results
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

Machine Learning Ai focuses on developing and deploying AI algorithms and models, while Data Scientists analyze and interpret data to inform business decisions. Both roles often collaborate but have distinct focuses within the data and AI ecosystem.

What are popular job titles related to Machine Learning Ai jobs in Austin, TX?

For Machine Learning Ai jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Ai jobs in Austin, TX look for?

The top searched job categories for Machine Learning Ai jobs in Austin, TX are:

What cities near Austin, TX are hiring for Machine Learning Ai jobs?

Cities near Austin, TX with the most Machine Learning Ai job openings:

Machine Learning Ai jobs near you
Infographic showing various Machine Learning Ai job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.

Machine Learning & AI Infrastructure Engineer

Kforce Technology Staffing

Austin, TX • On-site

$175K - $200K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

RESPONSIBILITIES:
Kforce has a client in Austin, TX that is seeking a Machine Learning & AI Infrastructure Engineer. This is not a traditional AI Engineer or Data Scientist role. The hiring team is specifically seeking a unique blend of: HPC Administrator + Kubernetes Administrator + AI Infrastructure Operations Engineer. Candidates who have owned, operated, supported, and troubleshot production AI or HPC environments will be the strongest fit. Experience administering and maintaining systems is significantly more important than architecture-only experience.
Responsibilities:
* Administer and support AI and HPC cluster environments
* Manage day-to-day operations of large-scale compute infrastructure
* Deploy, maintain, and troubleshoot Kubernetes-based platforms
* Ensure reliability, performance, and scalability across compute, storage, and networking environments
* Support AI model training and inference infrastructure
* Automate operational processes through scripting and tooling
* Partner with engineering teams and customers to optimize platform performance
* Troubleshoot complex infrastructure, networking, storage, and containerization issues
* Support both internal platforms and customer-facing environments
Why Consider This Opportunity?
* 100% Remote Environment
* Exposure to cutting-edge AI, GenAI, and HPC technologies
* Flat organizational structure with minimal bureaucracy
* Direct impact on strategic technology initiatives
* Opportunity to work on platforms that support healthcare, research, drug discovery, and other meaningful AI-driven innovations
* High visibility and collaboration with industry-leading technical teams
Compensation & Benefits:
* Base Salary: $175,000 - $200,000+
* Annual Bonus: Typically 10%-15%
* Medical, Dental, and Vision Coverage
* 401(k)
* Additional performance-based incentives
REQUIREMENTS:
* Strong experience administering High Performance Computing (HPC) environments
* Experience with AI cluster administration and infrastructure operations
* Hands-on Kubernetes administration experience in on-premises environments
* Experience provisioning and managing PV/PVC storage through Kubernetes CSI drivers
* Strong Linux administration skills, specifically Ubuntu
* Scripting experience with Bash and/or Python
* Proven troubleshooting and operational support experience
* Ability to manage and maintain production infrastructure environments
Experience with one or more of the following:
* Dell PowerScale/Isilon
* VAST Storage
* NetApp ONTAP
* DDN IntelliFlash
* DDN Exascaler
* Lustre Parallel File Systems
Successful candidates may come from organizations focused on:
* AI Infrastructure
* Machine Learning Platforms
* HPC Operations
* Research Computing
* Biotechnology
* Academic Medical Centers
* Digital Biology
* Financial Services AI Platforms
* Automotive AI Initiatives
* Large-Scale Data Science Environments
Preferred:
* NVIDIA ecosystem experience
* NVIDIA Base Command Manager (BCM)
* Bright Cluster Manager
* MLOps platform exposure
* Containerization technologies and orchestration platforms
* High-performance networking experience
* RDMA technologies
* InfiniBand networking
* NVIDIA UFM
* Parallel file system administration
* Storage Technologies (highly desired)
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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