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Apprentice Machine Learning Testing Jobs in Arlington, TX

Equinix, Inc.

AI/Machine Learning Engineer

Dallas, TX · On-site

Continuously improve system performance through testing, monitoring, and iterative refinement ... Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field The ...

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Apprentice Machine Learning Testing information

See Arlington, TX salary details

$9

$17

$25

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

As of Aug 8, 2026, the average hourly pay for apprentice machine learning testing in Arlington, TX is $17.42, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.04 per hour, depending on experience, location, and employer.

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 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 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 are popular job titles related to Apprentice Machine Learning Testing jobs in Arlington, TX? For Apprentice Machine Learning Testing jobs in Arlington, TX, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Arlington, TX look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Arlington, TX are:
What cities near Arlington, TX are hiring for Apprentice Machine Learning Testing jobs? Cities near Arlington, TX with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you

AI/Machine Learning Engineer

Equinix, Inc.

Dallas, TX • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 28 days ago

Equinix rating

9.1

Company rating: 9.1 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

5th of 250 rated facilities management

Job description

Who are we?
Equinix is the world's digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.
A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.
Help us challenge assumptions, uncover bias, and remove barriers-because progress starts with fresh ideas. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work.
Job Summary
Independently leads and holds responsibility for multifaceted programs made up of multiple projects and processes; develops and reviews business cases for change and improvement.
Responsibilities
Engineering Expectations (Core Capabilities)
  • Design and build end-to-end AI systems integrating ML models, LLMs, APIs, and enterprise data
  • Translate business requirements into scalable system architectures and solution designs
  • Develop backend services and API-driven architectures to operationalize intelligent systems
  • Implement data and model pipelines integrating structured and unstructured data sources
  • Work closely with Data Scientists and ML Engineers to integrate model outputs into production systems and decision workflows
  • Apply agent-based workflows and multi-step orchestration to enable complex system behavior
  • Ensure systems are production-ready-scalable, reliable, secure, and performant
  • Continuously improve system performance through testing, monitoring, and iterative refinement

Operating Model & Ways of Working
  • Work closely with business, product, Data Science, and engineering teams to co-create solutions and align on outcomes
  • Translate ambiguous problems into structured requirements and actionable system designs
  • Engage stakeholders regularly to refine solutions and drive adoption
  • Collaborate across teams to ensure integration with existing systems and enterprise standards
  • Maintain high-quality documentation and enable knowledge transfer and continuity
  • Take ownership of delivery by managing enhancements, releases, and system evolution
  • Stay current with industry trends and contribute to continuous improvement of team capabilities

Qualifications
  • 5+ years of experience in software engineering, AI/ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems
  • Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field

The targeted pay range for this position in the following location is / locations are:
United States - Dallas Infomart Office DAI : 136,000 - 204,000 USD / Annual
Canada - Toronto Office TRO : 99,000 - 149,000 CAD / Annual
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
Equinix Benefits
As an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work.
Employee Assistance Program: An Employee Assistance program is available to all employees.
US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members. - Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA). - Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
We use artificial intelligence in our hiring process. Learn more here
This posting is a new position within our organization.

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