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Apprentice Machine Learning Testing Jobs (NOW HIRING)

ExtendMyTeam

Machine Learning Engineer

Austin, TX

Support experimentation, evaluation, testing, and continuous improvement of AI systems * Stay current with emerging AI, LLM, and machine learning technologies Required Experience / Ideal Background ...

Robinhood

Machine Learning Engineer

Bellevue, WA

A/B Testing and Experimentation : Design and conduct A/B tests to assess the performance of different machine learning models. This includes setting up the test environment, monitoring performance ...

Sarian, Inc.

Python Developer

Pittsburgh, PA · On-site

$48.75 - $67.25/hr

Data Analysis/Machine Learning. * Testing/Debugging/Security. * Writing, testing, and debugging Python code for various applications. * Developing server-side logic, back-end components, and APIs.

SARIAN Co

Python Developer

Pittsburgh, PA · On-site

$47 - $64.75/hr

Data Analysis/Machine Learning. * Testing/Debugging/Security. * Writing, testing, and debugging Python code for various applications. * Developing server-side logic, back-end components, and APIs.

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

A/B Testing and Experimentation : Design and conduct A/B tests to assess the performance of different machine learning models. This includes setting up the test environment, monitoring performance ...

AI Squared

Machine Learning Engineer

Washington, DC

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

Contribute to the design of data pipelines and infrastructure for training, testing, and validating ... Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ...

AI Squared

Machine Learning Engineer

Washington, DC

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

Strong experience designing, building, training, and testing machine learning models end-to-end. * Proven ability to work with raw, unstructured, or incomplete data, including data collection ...

Hive

Machine Learning Manager

San Francisco, CA

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... testing, and deployment in production * Drive delivery for our product milestones, continually ...

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Apprentice Machine Learning Testing information

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

As of Jun 29, 2026, the average hourly pay for apprentice machine learning testing in the United States is $19.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.15 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.

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What cities are hiring for Apprentice Machine Learning Testing jobs? Cities with the most Apprentice Machine Learning Testing job openings:
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Apprentice Machine Learning Testing jobs near you
Infographic showing various Apprentice Machine Learning Testing job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Temporary. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,268 per year, or $19.4 per hour.

Machine Learning Engineer

ExtendMyTeam

Austin, TX

Full-time

Posted 10 days ago

Job description

Join a high-growth financial technology organization focused on delivering modern digital banking and software solutions to financial institutions and enterprise clients. This team is investing heavily in AI-driven innovation to improve operational efficiency, accelerate software delivery, and streamline implementation processes across a large-scale delivery organization.

This is an opportunity to work on highly visible initiatives focused on automation, workflow optimization, and practical AI applications that directly impact customer delivery and operational performance.

Position Summary

We are seeking a Machine Learning Engineer to help design, implement, and scale AI-enabled solutions that improve software delivery workflows, automate operational processes, and enhance implementation efficiency. This individual will partner closely with engineering, implementation, product, and delivery teams to identify process bottlenecks and build practical AI-driven solutions that improve execution and scalability.

This is a hands-on engineering role focused on production systems, workflow automation, and AI implementation rather than purely research-oriented machine learning work.

Responsibilities

  • Design and develop AI/ML-enabled applications and workflow automation solutions

  • Build scalable machine learning pipelines and production-ready systems

  • Collaborate cross-functionally with engineering, implementation, product, and delivery teams

  • Identify operational inefficiencies and develop automation solutions to improve processes and delivery cycles

  • Integrate AI and machine learning solutions into production environments

  • Support experimentation, evaluation, testing, and continuous improvement of AI systems

  • Stay current with emerging AI, LLM, and machine learning technologies

Required Experience / Ideal Background

  • 5–8 years of relevant software engineering and/or machine learning experience

  • Strong Python engineering background

  • Experience working with AI/LLM technologies and frameworks such as OpenAI, Claude, PyTorch, TensorFlow, LangChain, or similar tools

  • Experience building and deploying production-grade applications, automation systems, or ML solutions

  • Familiarity with cloud platforms and scalable infrastructure environments

  • Experience within SaaS, enterprise software, fintech, or implementation-heavy technology organizations preferred

  • Strong problem-solving, communication, and collaboration skills

  • Experience working cross-functionally with technical and operational teams

Additional Information

  • Hybrid opportunity located in Austin, TX

  • Applicants must be authorized to work in the U.S. without sponsorship

  • Competitive compensation, benefits, flexible time off, and career development opportunities