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Apprentice Machine Learning Testing Jobs in Woodway, TX

... testing, validating, and refining crop models to improve prediction accuracy. The candidate will also contribute to the development and application of machine learning and artificial intelligence (AI ...

Support the development, testing and integration of new hardware and software platforms into the ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Senior Security Engineer

Waco, TX · On-site

$101K - $139K/yr

We're also building AI-powered products on top of Amazon Bedrock and our own machine learning ... Background in penetration testing or red team work Working Conditions * Manual dexterity required ...

Senior Security Engineer

Waco, TX · Remote

$117K - $160K/yr

We're also building AI-powered products on top of Amazon Bedrock and our own machine learning ... Background in penetration testing or red team work Working Conditions * Manual dexterity required ...

Senior Security Engineer

Waco, TX · Remote

$101K - $139K/yr

We're also building AI-powered products on top of Amazon Bedrock and our own machine learning ... Background in penetration testing or red team work Working Conditions * Manual dexterity required ...

VTIS Operator

Waco, TX · On-site

$15.75 - $20.50/hr

Accurately fill out and maintain real time, state machine logs, and all PMO documentation. This ... Perform appropriate sampling and testing of CIP chemicals and final rinse waters associated with ...

Showing results 21-40

Apprentice Machine Learning Testing information

See Woodway, TX salary details

$9

$17

$25

How much do apprentice machine learning testing jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for apprentice machine learning testing in Woodway, TX is $17.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $18.94 per hour, depending on experience, location, and employer.

What does an apprentice machine learning testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What kinds of projects or tasks can I expect to work on as an apprentice machine learning testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an apprentice machine learning testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What job categories do people searching Apprentice Machine Learning Testing jobs in Woodway, TX look for?

The top searched job categories for Apprentice Machine Learning Testing jobs in Woodway, TX are:

What cities near Woodway, TX are hiring for Apprentice Machine Learning Testing jobs?

Cities near Woodway, TX with the most Apprentice Machine Learning Testing job openings:

Infographic showing various Apprentice Machine Learning Testing job openings in Woodway, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $36,048 per year, or $17.3 per hour.

Operations Engineer, Applied AI (Application Software)

Mcgregor, TX • On-site

SPACE EXPLORATION TECHNOLOGIES CORP
Aerospace Product and Parts Manufacturing • 1 - 5K employees

$150 - $200/hr

Other

Posted 22 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

18th of 72 rated aerospace companies


Job description

Operations Engineer, Applied AI (Application Software)

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal ofenabling human life on Mars.

OPERATIONS ENGINEER, APPLIED AI (APPLICATION SOFTWARE)

As an Operations Engineer on SpaceX’s team, you will act as a key technical partner. You’ll help internal teams across different programs explore the capabilities of different platforms and design smart, effective strategies for incorporating large language models into their products and infrastructure. This hybrid role blends strong technical depth with strong interpersonal skills to empower different teams within the company to create powerful AI-powered solutions while prioritizing safety and responsible deployment.

You’ll collaborate closely with Sales, Product, and Engineering teams to support them from early exploration all the way through successful implementation. Using your engineering background, you will build practical testing approaches and create robust system designs that deliver meaningful results.

RESPONSIBILITIES:

  • Work alongside internal teams to uncover their needs and design technical approaches that closely align with their goals
  • Serve as the main technical point of contact, supporting end-to-end while coordinating with internal teams to ensure strong outcomes
  • Build prototypes and proof-of-concept applications that clearly illustrate effective ways to integrate with Spok/Grok
  • Advise on system-on-system architecture and support teams in developing advanced applications powered by LLMs – Large Language Models
  • Keep current evolving LLM technologies, best practices, and the tools commonly used in fast-moving environments

BASIC QUALIFICATIONS:

  • Bachelor’s degree in a STEM or engineering discipline
  • 1+ years of experience working in engineering or operations/process development

PREFERRED SKILLS AND EXPERIENCE:

  • Hands-on experience supporting cross- functional teams and a solid grasp of their fast-paced environment, limited resources, and specific pain points, specifically in engineering disciplines
  • Ability to code along with a track record of developing production-level applications
  • Experience with shipping real-world applications using large language models and related machine learning tools to lead cross-functional groups
  • Knowledge of common LLM techniques including prompt design, evaluation methods, agent systems, and retrieval architecture
  • Previous experience working with AI product design, development, integration, and/or test
  • Demonstrated ability to work under pressure and deliver expeditious results across multiple parallel priorities
  • Previous experience innovating process improvements, AI integrations, and AI system design in an enterprise setting
  • Positive, "can-do" attitude, self-starter, and ability to work in a high-pace dynamic environment

ADDITIONAL REQUIREMENTS:

  • Must be willing to work extended hours and weekends as needed
  • Must be willing to travel up to 25% of the time to visit different sites
  • Ability to pass Air Force background checks for Cape Canaveral and Vandenberg
  • This role requires you to be onsite. Remote and/or hybrid work will not be considered
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here .

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX’s Affirmitive Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out toEEOCompliance@spacex.com .

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Hours and flexibility

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US