1

Shopify Machine Learning Jobs in Texas (NOW HIRING)

Data Engineering Manager

Austin, TX · On-site

$113K - $136K/yr

Enable AI and Machine Learning by building trusted, reusable, and governed data products supporting ... Experience integrating with and working with data from Shopify, Heap, Adobe SDK and AppsFlyer

Data Engineering Manager

Austin, TX

$113K - $136K/yr

Enable AI and Machine Learning by building trusted, reusable, and governed data products supporting ... Experience integrating with and working with data from Shopify, Heap, Adobe SDK and AppsFlyer

Operate lotto machines and ensure equipment remains in good working order, reportingany maintenance ... Shopify experience preferred, but not required? Comfortable and nimble with operating technology ...

Inventory Control Coordinator

Manor, TX · On-site

$20.50 - $26/hr

... machines, grinders, and accessories from the most respected brands in coffee. We're building a ... Experience with WMS/IMS systems; familiarity with Shopify, ERP systems, or manufacturing workflows ...

Inventory Control Coordinator

Manor, TX · On-site

$20.50 - $26/hr

... machines, grinders, and accessories from the most respected brands in coffee. We're building a ... Experience with WMS/IMS systems; familiarity with Shopify, ERP systems, or manufacturing workflows ...

Inventory Control Coordinator

Austin, TX · On-site

$18.75 - $23.75/hr

... machines, grinders, and accessories from the most respected brands in coffee. We're building a ... Experience with WMS/IMS systems; familiarity with Shopify, ERP systems, or manufacturing workflows ...

Inventory Control Coordinator

Webberville, TX · On-site

$20.50 - $26/hr

... machines, grinders, and accessories from the most respected brands in coffee. We're building a ... Experience with WMS/IMS systems; familiarity with Shopify, ERP systems, or manufacturing workflows ...

Shopify Machine Learning information

What is a Shopify Machine Learning specialist?

A Shopify Machine Learning specialist is a professional who designs, develops, and deploys machine learning models to improve various aspects of the Shopify platform, such as product recommendations, search optimization, fraud detection, and customer insights. They work with large datasets, use statistical analysis, and implement algorithms to automate and enhance business processes. Their goal is to help merchants and customers have a more personalized, efficient, and secure experience on Shopify.

What are the key skills and qualifications needed to thrive as a Shopify Machine Learning engineer?

To thrive as a Shopify Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, typically supported by a relevant degree. Familiarity with tools like Python, TensorFlow or PyTorch, and experience with Shopify's data systems and APIs are crucial. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts to non-technical stakeholders are vital soft skills. These abilities ensure the effective development, deployment, and integration of machine learning solutions that drive business value on the Shopify platform.

How do Shopify Machine Learning professionals typically collaborate with engineering and product teams to implement ML solutions?

Shopify Machine Learning professionals work closely with engineering and product teams throughout the entire lifecycle of ML projects. They participate in cross-functional meetings to understand business needs, share insights from data, and help define project scopes. During implementation, they collaborate with engineers to integrate models into production systems, ensuring scalability and reliability. Regular communication with product managers ensures that machine learning solutions align with user needs and business goals, making teamwork and adaptability essential skills in this role.

What is the difference between Shopify Machine Learning vs Shopify Data Analyst?

AspectShopify Machine LearningShopify Data Analyst
Required CredentialsBackground in data science, machine learning, programming (Python, R)Degree in statistics, data analysis, or related field
Work EnvironmentDeveloping algorithms, building predictive models, working with large datasetsInterpreting data, creating reports, supporting business decisions
Industry UsageCreating AI-driven features, personalization, automation within ShopifyAnalyzing sales, customer behavior, and performance metrics for Shopify stores

Shopify Machine Learning focuses on developing algorithms and models to enhance platform features, while Shopify Data Analysts interpret data to inform business strategies. Both roles require strong analytical skills but differ in technical depth and application.

What are popular job titles related to Shopify Machine Learning jobs in Texas?

For Shopify Machine Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Shopify Machine Learning jobs in Texas look for?

The top searched job categories for Shopify Machine Learning jobs in Texas are:

What cities in Texas are hiring for Shopify Machine Learning jobs?

Cities in Texas with the most Shopify Machine Learning job openings:

Software Quality Engineer - Test Automation

SupportFinity™

Austin, TX • On-site

$80 - $100/hr

Other

Medical, Life, Retirement, PTO

Posted 12 days ago


Job description

Software Quality Engineer - Test Automation

Resideo is seeking a forward-thinking Software Quality Engineer - Test Automation to join our team in Austin, TX. This role is focused on building intelligent, scalable automation frameworks that ensure the reliability and performance of Resideo’s connected home solutions. The ideal candidate will bring hands‑on experience with AI‑driven testing tools, AI agents, and Model‑Centric Platforms (MCP) to elevate our automation capabilities.

Job Duties Test Strategy & Planning
  • Design and maintain test strategies and plans based on product requirements.
  • Define and document test cases for functional, performance, and integration testing.
Automation Development & Execution
  • Maintain automated test scripts using tools such as Selenium, Appium, Playwright, Cypress, JUnit, and TestNG.
  • Leverage AI agents and MCPs to optimize test coverage, execution, and data synthesis.
  • Continuously enhance automation frameworks, incorporating AI and machine learning tools.
Product Validation
  • Ensure test coverage across web, mobile (iOS/Android), and API platforms.
  • Validate system reliability, scalability, and performance through automated end‑to‑end testing.
Defect Tracking & Resolution
  • Identify and report issues using tools like JIRA.
  • Collaborate with development teams to resolve defects and verify fixes.
Cross‑Functional Collaboration
  • Work closely with developers, product managers, and quality engineers to ensure high‑quality deliverables.
  • Participate in Agile ceremonies and contribute to continuous improvement initiatives.
Documentation & Compliance
  • Maintain clear documentation including test cases, results, and release notes.
  • Ensure adherence to internal quality standards and compliance processes.
Requirements
  • 2+ years of experience in software quality engineering with a focus on automation.
  • 1+ year of experience working in Agile/Scrum environments.
  • Experience testing SaaS solutions (Shopify experience is a plus).
  • Experience using AI‑based testing tools or frameworks (e.g., Testim, Mabl, Functionize).
  • Hands‑on experience with AI agents and Model‑Centric Platforms (MCP) for test automation and data analysis.
  • Ability to work in‑office three days/week (Tue/Wed/Thu) in adherence with our required hybrid work environment.
We Value
  • Experience in highly rigorous engineering environments or equivalent applied industry experience demonstrating analytical problem‑solving at a top‑tier technical level.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Proficiency in scripting with Java, Python, or JavaScript.
  • Experience with automation tools such as Selenium, Appium, Playwright, or Cypress.
  • API testing experience using Postman or Swagger.
  • Familiarity with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
  • Understanding of cloud infrastructure, wireless data transmission, and sensor technologies.
  • Awareness of UX/UI principles and product security best practices.
  • Strong analytical and communication skills.
  • Ability to thrive in a fast‑paced, agile environment with globally distributed teams.
What’s In It For You
  • Be part of a global leader in smart home innovation.
  • Work on cutting‑edge technologies that impact millions of homes worldwide.
  • Collaborate with passionate professionals in a culture that values quality, innovation, and continuous learning.
  • Help shape the future of connected living through intelligent automation and AI‑driven quality engineering.
  • Resideo provides a comprehensive benefits package, including life and health insurance, life assistance program, accidental death and dismemberment insurance, disability insurance, retirement plans, vacation, and holidays.
Equal Opportunity Employer

Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Resideo complies with applicable equal employment laws in all countries where we do business.

Privacy Notice

For more information on how we process your information in the job application process, please refer to our Recruitment Privacy Notice. If you require a reasonable accommodation to apply for a job, please use our Contact Us form for assistance.

#J-18808-Ljbffr