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Machine Learning Qa Jobs in Texas (NOW HIRING)

Quality Assurance Technician

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Quality Assurance Technician is responsible for inspecting products, monitoring production ... May require standing for extended periods and working near machinery * Use of personal protective ...

Quality Assurance Technician

Houston, TX

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Quality Assurance Technician is responsible for inspecting products, monitoring production ... May require standing for extended periods and working near machinery * Use of personal protective ...

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 ...

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

  • Medical

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... quality and performance of AI systems through testing and validation**EXPERIENCE AND KNOWLEDGE ...

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... trends • Ensure the quality and performance of AI systems through testing and validation ...

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

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.

Quality Assurance Assistant

El Campo, TX · On-site

$16.50 - $21.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... machine documentation. * Contribute to achieving quality assurance goals by supporting data ... collection, analysis, and strategic planning efforts. * Prepare and complete action plans for ...

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 ...

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 ...

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 ...

Showing results 21-40

Machine Learning Qa information

What is a machine learning QA?

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.

What does a machine learning QA do?

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 skills and qualifications are needed for a machine learning QA?

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 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 August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Staff Machine Learning Engineer - Ads Platform

Apple

Austin, TX

Full-time

Re-posted 2 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

At Apple, we focus deeply on the customer experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses.
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, MLS Season Pass and now F1 ! . Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to news publishers to big, global brands. Because when advertising is done right, it benefits everyone.
Description
Apple Ads is Hiring a hands-on Machine Learning Engineer. In this role you will build design and build Machine learning systems and data pipelines to safeguard the advertiser trust of our platform and enhance invalid traffic protections. You will define and execute an innovation roadmap; build and deploy models with robust CI/CD, feature stores, and streaming infrastructure (e.g., Kafka/Spark/Flink); and run A/B experimentation. You will lead performance tuning, calibration, and drift detection to deliver measurable improvements in product quality, user experience, latency, and cost. ","responsibilities":"Develop and manage end-to-end lifecycle of machine learning models, including observability for large-scale, high-throughput, and low-latency production systems.
Design, develop, and optimize distributed algorithms and data processing frameworks(e.g., Spark).
Implement scalable feature pipelines to ingest, clean, transform, and analyze massive datasets.
Reinforce Ads integrity and advertiser trust by safeguarding infrastructure.
Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
Stay up to date with developments in the machine learning industry
Collaborate with product and engineering teams on production systems and applications.
Drive performance optimization, bottleneck analysis, and system tuning across compute and storage layers.
Build tools to support A/B testing, statistical evaluation, and experimentation pipelines.
Ensure data integrity, security, and compliance across all solutions.
Participate in cross-functional Agile teams to prototype and deliver impactful, data-driven products.
Preferred Qualifications
10+ years of experience building machine learning capabilities across many different product areas at scale.
Background in Advertising systems.
Contributions to open-source algorithm frameworks or data processing tools.
Minimum Qualifications
8+ years of experience building machine learning capabilities across many different product areas at scale
Strong proficiency in Java, Python, or Scala for algorithm and system development.
Experience with distributed systems and big data frameworks such as Spark, Kafka, Hadoop, or Flink.
Solid understanding of data structures, algorithms, and system design principles.
Familiarity with CI/CD workflows, cloud environments, and containerized deployments.
Knowledge of data validation, cleansing, and quality assurance practices.
Understanding of statistical methods, A/B testing, and online experimentation frameworks.
Prior experience working with Anomaly detection is a plus.
BS or MS in Computer Science, Software Engineering or related technical fields.

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