2

Remote Google Machine Learning Engineer Jobs in Dallas, TX

Data Solutions Engineer

Irving, TX ยท On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Google Cloud) and large-scale data processing. * 1 year of experience in machine learning model ...

Senior Data Engineer Remote Work *Must be a US Citizen* & have a USA Passport Primary ... Experience supporting machine learning workflows or analytical data science pipelines * Knowledge ...

Senior / Staff Perception Engineer

Dallas, TX ยท On-site +1

$158K - $269K/yr

... machine learning, computer vision, and self-driving technologies, and apply insights from the ... Python programming with a focus on writing high-quality, well-structured, and tested code ...

AI Engineer (Commercial & MTO) Experience level: 10 + years Job Summary AI Engineer (Commercial ... Transform trained machine learning models into robust, scalable, production-ready APIs that ...

AI Engineer (Commercial & MTO) Experience level: 10 + years Job Summary AI Engineer (Commercial ... Transform trained machine learning models into robust, scalable, production-ready APIs that ...

Sr/Staff Data Scientist (Remote - US)

TX ยท On-site +1

$165K - $300K/yr

Lead the development and deployment of advanced machine learning models to forecast outcomes and ... Advanced proficiency in programming languages such as Python, R, SQL, and Java. * Demonstrated ...

Data Scientist

Richardson, TX ยท Remote

$116K - $198K/yr

Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models ... Perform feature engineering and data preparation for modeling workflows * Translate business and ...

Data Scientist

Richardson, TX ยท Remote

$116K - $198K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Perform feature engineering and data preparation for modeling workflows * Translate business and ...

next page

Showing results 1-20

Remote Google Machine Learning Engineer information

See Dallas, TX salary details

$31.2K

$127.4K

$191.4K

How much do remote google machine learning engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for remote google machine learning engineer in Dallas, TX is $127,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $153,300.00 per year, depending on experience, location, and employer.

What is a Remote Google Machine Learning Engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

What are the key skills and qualifications needed to thrive as a Remote Google Machine Learning Engineer, and why are they important?

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do Remote Google Machine Learning Engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What are popular job titles related to Remote Google Machine Learning Engineer jobs in Dallas, TX? For Remote Google Machine Learning Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Google Machine Learning Engineer jobs in Dallas, TX look for? The top searched job categories for Remote Google Machine Learning Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Google Machine Learning Engineer jobs? Cities near Dallas, TX with the most Remote Google Machine Learning Engineer job openings:
Infographic showing various Remote Google Machine Learning Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $127,383 per year, or $61.2 per hour.
Test Automation Engineer (Remote Opportunity)

Test Automation Engineer (Remote Opportunity)

VetsEZ

Dallas, TX โ€ข Remote

$45.50 - $60/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Job description

VetsEZ is seeking a Mid-Level QA / Automation Engineer to support the testing, validation, and quality assurance of web-based applications within the Department of Veterans Affairs (VA) environment. This role is responsible for planning, executing, and maintaining both manual and automated test efforts to ensure high-quality, reliable software delivery. The ideal candidate brings strong experience in test automation frameworks, a meticulous attention to detail, and demonstrated ability to leverage AI tools and techniques to enhance testing efficiency, coverage, and accuracy.

The candidate must reside within the continental US.

Responsibilities:

  • Plan, design, and execute comprehensive test strategies for web-based applications
  • Perform functional, regression, integration, and end-to-end testing across multiple environments
  • Develop, maintain, and execute automated test scripts using industry-standard frameworks (Playwright preferred, Selenium acceptable)
  • Validate application behavior against functional and technical requirements
  • Identify, document, and track defects using Jira (XRay preferred)
  • Collaborate with developers, product owners, and cross-functional teams to ensure quality throughout the development lifecycle
  • Maintain detailed and structured test cases, ensuring traceability and consistency across releases
  • Contribute to test documentation and knowledge sharing using Confluence
  • Participate in Agile ceremonies including sprint planning, backlog grooming, and retrospectives
  • Support CI/CD pipelines by integrating automated testing into build and deployment workflows

AI-Enabled Testing Responsibilities:

  • Leverage AI-assisted tools (e.g., test generation, defect prediction, code analysis) to improve test efficiency and coverage
  • Utilize AI-driven approaches for test case generation, prioritization, and maintenance
  • Apply machine learning-based validation techniques where appropriate (e.g., anomaly detection, pattern recognition in test results)
  • Use AI tools to accelerate root cause analysis and defect triage
  • Enhance automated testing frameworks with AI capabilities to reduce manual effort and improve reliability
  • Apply prompt engineering and structured AI usage to generate test scenarios, documentation, and validation strategies
  • Ensure responsible and secure use of AI tools in accordance with enterprise and federal guidelines

Requirements:

  • Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)
  • 5+ years of experience in software testing and test automation
  • Strong experience with browser automation tools:
  • Playwright (preferred)
  • Selenium (acceptable)
  • Experience performing functional, regression, and integration testing
  • Hands-on experience with Jira and Confluence (XRay strongly preferred)
  • Demonstrated experience maintaining structured test cases and test suites
  • Strong attention to detail and commitment to quality
  • Experience working in Agile development environments
  • U.S. citizenship and ability to obtain and maintain a Public Trust clearance

Additional Qualifications:

  • Experience with AI-driven testing tools and frameworks
  • Familiarity with machine learning-based validation or intelligent test automation techniques
  • Experience integrating automated testing into CI/CD pipelines
  • Experience testing cloud-based applications (Azure preferred)
  • Exposure to API testing tools and frameworks
  • Familiarity with DevSecOps practices
  • Experience supporting federal or healthcare IT systems (VA experience a plus)

Technical Environment:

  • Playwright / Selenium
  • Jira / Confluence (XRay preferred)
  • Web application testing (UI, API, integration)
  • CI/CD pipelines
  • Azure (preferred)

Benefits:

  • Medical, Dental, and Vision insurance
  • 401(k) with Employer Match
  • PTO and Federal Holidays
  • Corporate-provided Laptop
  • Training and Professional Development Opportunities
  • Fully Remote Role

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

Equal Opportunity Disclaimer:
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME