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Machine Learning Qa Jobs in Texas (NOW HIRING)

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... quality of output Preferred Qualifications PhD or Graduate degree with research/work experience ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... quality and performance of AI systems through testing and validation EXPERIENCE AND KNOWLEDGE ...

Quality Assurance Technician Department/Location: HoustonProduction Facility Reports To: Houston ... Ensure plant safety rules are followed including safe lifting practices and safe machine operation.

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... their quality of life. About You: * Experience writing production-level C/C++/Rust and Python

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... accuracy and quality of output Pay & Benefits At Apple, base pay is one part of our total ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... accuracy and quality of output Pay & Benefits At Apple, base pay is one part of our total ...

Houston Quality Assurance Lead FLSA Status: Non-Exempt COMPANY: Headquartered in Orlando, FL ... Ensure plant safety rules are followed including safe lifting practices and safe machine operation.

Conduct internal Quality Assurance audits. Assist in conducting external or vendor audits of machine, welding, and heat treat shops when required * Assure the Inspection department documents are ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... accuracy and quality of output Pay & Benefits At Apple, base pay is one part of our total ...

The Quality Inspector reports directly to the QA Manager This position does not supervise any ... May work around and on machinery, using various kinds of machine and hand tools. Work environment ...

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Machine Learning Qa information

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and deploying complex models, making complete replacement unlikely in the near term. MLEs also need skills in programming, data analysis, and understanding of algorithms to adapt to evolving AI technologies.

What is a Machine Learning QA job?

A Machine Learning QA (Quality Assurance) professional is responsible for testing and validating machine learning models to ensure accuracy, reliability, and performance. They design test cases, create automated testing pipelines, and identify biases or errors in datasets and model outputs. Their role bridges software testing and data science, ensuring that ML systems function correctly in production.

Is AI taking over QA jobs?

AI and automation are increasingly used in quality assurance roles, especially for repetitive testing tasks, but they complement rather than replace QA jobs. Skilled QA professionals who focus on test design, analysis, and complex problem-solving remain essential, and knowledge of automation tools like Selenium or TestComplete enhances employability.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries around $500,000 annually. Compensation often includes base salary, bonuses, and stock options, especially in high-demand markets.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, with a compensation package that includes salary, bonuses, and stock options reaching or exceeding that amount annually. These roles often require advanced skills in machine learning, deep learning, data analysis, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.

What are the typical daily responsibilities of a Machine Learning QA professional?

A Machine Learning QA professional is primarily responsible for designing, implementing, and executing test plans to ensure the quality and performance of machine learning models and their integration into software products. This often involves developing automated tests, validating dataset integrity, monitoring model outputs, and collaborating closely with data scientists and developers to resolve issues. Additionally, you may participate in code reviews, maintain testing documentation, and contribute to continuous improvement of testing processes. The role is collaborative and requires balancing technical rigor with practical problem-solving to help deliver robust AI-powered applications.

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

Success as a Machine Learning QA requires a solid understanding of software testing principles, machine learning concepts, and programming skills, typically supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow or PyTorch, and QA automation frameworks, as well as relevant certifications in software testing or ML, are often advantageous. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for ensuring machine learning models function as intended, meet quality standards, and integrate smoothly into production environments.

What are the most commonly searched types of Machine Learning Qa jobs in Texas? The most popular types of Machine Learning Qa jobs in Texas are:
What job categories do people searching Machine Learning Qa jobs in Texas look for? The top searched job categories for Machine Learning Qa jobs in Texas are:
Infographic showing various Machine Learning Qa job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Apple

Austin, TX • On-site

Full-time

Re-posted 19 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 667 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop the next generation of algorithms used to drive the Apple Online experience! The role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimizing Apple-wide systems & infrastructure. As a member of the fast-paced team, you will have the outstanding and great opportunity to be part of new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers every day.
Description
To be successful, candidates will need a machine learning background, proven software development skills, a love of learning. They will also need to be able to collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to help develop and implement machine learning algorithms and testing workflows.
Minimum Qualifications
4+ years of related experience building high throughput scalable applications or building machine learning models.
Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems.
Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.
Skilled in communication, problem solving, strategic thinking
Attention to detail, data accuracy and quality of output
Preferred Qualifications
PhD or Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelorʼs degree with equivalent experience.
Experience in Search, Recommender Systems, Personalization, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture.
Skilled in communication, problem solving, critical thinking.
Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus.
Experience with Spark, TensorFlow, Keras, and PyTorch a plus

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976