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Machine Learning Testing Jobs (NOW HIRING)

Prophecy Technologies

QA Lead

Princeton, NJ · On-site

Experience testing or knowledge of Machine Learning workflows. * Perform ETL Testing and validate data transformations across systems. Key Skills / Competencies: * ETL Testing, Automation Testing ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... A/B Testing * Agile/Scrum Preferred Qualifications * Prior ML internship or academic research ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... A/B Testing * Agile/Scrum Preferred Qualifications * Prior ML internship or academic research ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

CI/CD pipelines and regression testing • AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language ...

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.

Avride

Machine Learning Engineer

Austin, TX · On-site

Develop efficient workflows for training, validation, and testing, incorporating distributed ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

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 ...

Avride

Machine Learning Engineer

Austin, TX

Develop efficient workflows for training, validation, and testing, incorporating distributed ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

CoVar

Machine Learning Engineer

Durham, NC

CI/CD pipelines and regression testing. * AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language ...

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How much do machine learning testing jobs pay per hour?

As of May 31, 2026, the average hourly pay for machine learning testing in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What is a Machine Learning Testing job?

A Machine Learning Testing job involves evaluating and validating machine learning models to ensure they function correctly, efficiently, and ethically. This includes testing for accuracy, reliability, bias, and performance under different conditions. Professionals in this role employ techniques such as unit testing, integration testing, data validation, and model performance monitoring. They also work closely with data scientists and engineers to debug issues and improve model robustness. The goal is to ensure that machine learning systems perform as expected and meet business or regulatory requirements.

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

To excel in Machine Learning Testing, you need a solid understanding of machine learning concepts, data analysis, and programming skills in languages like Python, as well as a background in quality assurance or software testing. Familiarity with frameworks such as TensorFlow, PyTorch, automated testing tools, and relevant certifications like ISTQB are highly beneficial. Strong attention to detail, analytical thinking, and effective communication skills help testers identify issues and collaborate with data scientists and developers. These competencies are essential to ensure the reliability, fairness, and accuracy of machine learning models deployed in production environments.

What are the typical challenges faced by professionals in Machine Learning Testing roles?

Professionals in Machine Learning Testing often encounter challenges such as dealing with non-deterministic model outputs, insufficient or imbalanced datasets, and unclear or evolving testing criteria. They may need to work closely with data scientists and engineers to develop robust test cases and validation methods tailored for dynamic machine learning systems. Staying updated on advancements in testing methodologies and tools is also important, as the field evolves rapidly. Successfully overcoming these challenges leads to higher quality models and more reliable AI solutions for end users.
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What cities are hiring for Machine Learning Testing jobs? Cities with the most Machine Learning Testing job openings:
What are the most commonly searched types of Machine Learning Testing jobs? The most popular types of Machine Learning Testing jobs are:
What states have the most Machine Learning Testing jobs? States with the most job openings for Machine Learning Testing jobs include:
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Machine Learning Testing jobs near you
Infographic showing various Machine Learning Testing job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 82% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

QA Lead

Prophecy Technologies

Princeton, NJ • On-site

Full-time

Posted 16 days ago

Job description

Job Description / Responsibilities:
  • Strong ETL testing skills.
  • Experience in automating test cases using PySpark or Python.
  • Collaborate with DevOps engineers to integrate automated test cases into CI/CD pipelines.
  • Experience or training in testing Databricks.
  • Experience testing or knowledge of Machine Learning workflows.
  • Perform ETL Testing and validate data transformations across systems.

Key Skills / Competencies:
  • ETL Testing, Automation Testing (PySpark/Python), CI/CD Integration, DevOps Collaboration, Databricks Testing, Machine Learning Testing, QA Leadning;

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