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Machine Learning Testing Jobs in Texas (NOW HIRING)

Apple

Senior Machine Learning Engineer

Austin, TX

$181K - $318K/yr

... and testing workflows.","responsibilities":"Collaborate with other MLEs to build scalable ... Experience building data processing pipelines and large scale machine learning systems with ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$181K - $318K/yr

... and testing workflows.","responsibilities":"Collaborate with other MLEs to build scalable ... Experience building data processing pipelines and large scale machine learning systems with ...

Apple

Senior Machine Learning Engineer

Austin, TX

$181K - $318K/yr

... and testing workflows.","responsibilities":"Collaborate with other MLEs to build scalable ... Experience building data processing pipelines and large scale machine learning systems with ...

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX · On-site

... robust A/B testing and evaluation methodologies • Collaborate cross-functionally at depth ... machine learning, with significant experience building and scaling production-grade systems • ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$116K - $154K/yr

... testing, and code review • 5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in ...

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Machine Learning Testing information

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How much do machine learning testing jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for machine learning testing in Texas is $21.26, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $23.75 per hour, depending on experience, location, and employer.

Is ML a high paying job?

Machine Learning testing roles are generally well-paid due to the specialized skills required, such as knowledge of algorithms, programming, and data analysis. Salaries vary based on experience, location, and company size, but they tend to be higher than average for tech-related positions.

What jobs pay $2000 a day?

In the field of machine learning testing, highly specialized roles such as senior machine learning engineers, AI research consultants, or freelance experts with advanced skills and certifications can command daily rates of $2000 or more. These positions typically require extensive experience, strong technical knowledge, and often involve consulting or contract work for organizations seeking advanced AI solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Testing position, and why are they important?

To excel in Machine Learning Testing, you need a solid understanding of machine learning concepts, data analysis, and programming skills in languages like Python, as well as a background in quality assurance or software testing. Familiarity with frameworks such as TensorFlow, PyTorch, automated testing tools, and relevant certifications like ISTQB are highly beneficial. Strong attention to detail, analytical thinking, and effective communication skills help testers identify issues and collaborate with data scientists and developers. These competencies are essential to ensure the reliability, fairness, and accuracy of machine learning models deployed in production environments.

What are the typical challenges faced by professionals in Machine Learning Testing roles?

Professionals in Machine Learning Testing often encounter challenges such as dealing with non-deterministic model outputs, insufficient or imbalanced datasets, and unclear or evolving testing criteria. They may need to work closely with data scientists and engineers to develop robust test cases and validation methods tailored for dynamic machine learning systems. Staying updated on advancements in testing methodologies and tools is also important, as the field evolves rapidly. Successfully overcoming these challenges leads to higher quality models and more reliable AI solutions for end users.

How much do AI testers get paid?

AI testers, a role within machine learning testing, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with skills in programming, data analysis, and testing tools can earn higher wages.

What is a Machine Learning Testing job?

A Machine Learning Testing job involves evaluating and validating machine learning models to ensure they function correctly, efficiently, and ethically. This includes testing for accuracy, reliability, bias, and performance under different conditions. Professionals in this role employ techniques such as unit testing, integration testing, data validation, and model performance monitoring. They also work closely with data scientists and engineers to debug issues and improve model robustness. The goal is to ensure that machine learning systems perform as expected and meet business or regulatory requirements.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.
What are the most commonly searched types of Machine Learning Testing jobs in Texas? The most popular types of Machine Learning Testing jobs in Texas are:
What are popular job titles related to Machine Learning Testing jobs in Texas? For Machine Learning Testing jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Testing jobs in Texas look for? The top searched job categories for Machine Learning Testing jobs in Texas are:
Machine Learning Testing jobs near you

AI / Machine Learning Engineer (Python)

Prophecy Technologies

Plano, TX • On-site

Full-time

Posted 21 days ago

Job description

Job Summary
We are looking for a Senior AI / Machine Learning Engineer with strong expertise in Python and end-to-end AI solution development. The role involves designing, building, deploying, and optimizing machine learning and deep learning models while contributing to scalable, secure, and high-performance application architectures.
Key Responsibilities
  • Develop, train, optimize, and evaluate machine learning and deep learning models for business use cases
  • Build and deploy end-to-end AI solutions including data ingestion, model development, testing, and production integration
  • Design, develop, and maintain high-performance Python applications and services
  • Ensure scalability, reliability, and security of AI applications
  • Build and integrate RESTful APIs and third-party services
  • Automate workflows, data processing, and reporting using Python
  • Troubleshoot complex application and database issues and implement long-term solutions
  • Contribute to system architecture decisions and technology roadmaps
  • Lead code reviews, enforce best practices, and mentor junior engineers
  • Collaborate with product owners, data analysts, and stakeholders to translate business requirements into technical solutions

Required Skills & Experience
  • Strong hands-on experience with Python for application and AI development
  • Experience developing and deploying machine learning and deep learning models
  • Knowledge of end-to-end AI/ML pipelines including data ingestion, training, evaluation, and deployment
  • Strong understanding of RESTful API design and integration
  • Experience with scalable application architectures and cloud-native services
  • Strong debugging and troubleshooting skills across application and database layers

Competencies
  • Strong analytical and problem-solving skills
  • Ability to translate business problems into technical solutions
  • Leadership and mentoring capabilities
  • Excellent communication and collaboration skills
  • Ownership mindset and attention to code quality and performance

Preferred Skills
  • Experience with cloud platforms and MLOps practices
  • Exposure to system design and architecture planning
  • Familiarity with automation frameworks and CI/CD pipelines
  • Experience working in Agile development environments

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