ZipRecruiter

Log In

1

Artificial Intelligence Machine Learning Engineer Jobs in Austin, TX

TalentPros.AI

Staff Machine Learning Engineer

Austin, TX

$120K - $550K/yr

About the Team We are at the forefront of artificial intelligence, driving innovation and shaping ... We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll ...

TechNix LLC

AI Engineer

Austin, TX · On-site

DESCRIPTION OF SERVICES Texas Department of Public Safety requires the services of 1 Artificial Intelligence/Machine Learning Engineer 1 , hereafter referred to as Candidate(s), who meets the general ...

next page

Showing results 1-20

All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Austin, TX

Artificial Intelligence Machine Learning Engineer information

See Austin, TX salary details

$31.2K

$127.6K

$191.8K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for artificial intelligence machine learning engineer in Austin, TX is $127,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,600.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Austin, TX? For Artificial Intelligence Machine Learning Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Austin, TX look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Austin, TX with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,637 per year, or $61.4 per hour.
Artificial Intelligence/Machine Learning Engineer

Artificial Intelligence/Machine Learning Engineer

Proventus Metrics

Austin, TX • On-site

Other

Posted 3 days ago

Job description

Artificial Intelligence/Machine Learning Engineer
Austin, TX (Hybrid)Introduction:

The Artificial Intelligence/Machine Learning Engineer will be responsible for supporting critical artificial intelligence initiatives at the Texas Department of Public Safety. This role will involve building and deploying components of the enterprise search tool, assisting with the configuration, rollout, and documentation of the Darwin AI inventory system, supporting implementation and testing of AI agents, and developing technical controls and processes for AI governance adoption.

Responsibilities:
  • Building and deploying components of the enterprise search tool
  • Assisting with the configuration, rollout, and documentation of the Darwin AI inventory system
  • Supporting implementation and testing of AI agents aligned to business unit needs
  • Developing technical controls, documentation, and processes required for AI governance adoption

Apply