1

Shopify Machine Learning Jobs in Coraopolis, PA (NOW HIRING)

Our machines facilitate mid-scale manufacturing, where you make your product at a moderate scale ... learning, the following skills/tools: * Ecommerce tools such as Shopify, WooCommerce, etc. * CRM ...

Our machines facilitate mid-scale manufacturing, where you make your product at a moderate scale ... learning, the following skills/tools: * Ecommerce tools such as Shopify, WooCommerce, etc. * CRM ...

Our machines facilitate mid-scale manufacturing, where you make your product at a moderate scale ... learning, the following skills/tools: * Ecommerce tools such as Shopify, WooCommerce, etc. * CRM ...

Our machines facilitate mid-scale manufacturing, where you make your product at a moderate scale ... learning, the following skills/tools: * Ecommerce tools such as Shopify, WooCommerce, etc. * CRM ...

Our machines facilitate mid-scale manufacturing, where you make your product at a moderate scale ... learning, the following skills/tools: * Ecommerce tools such as Shopify, WooCommerce, etc. * CRM ...

Shopify Machine Learning information

See Coraopolis, PA salary details

$24.3K

$40.6K

$83.9K

How much do shopify machine learning jobs pay per year?

As of Jun 13, 2026, the average yearly pay for shopify machine learning in Coraopolis, PA is $40,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

How much do machine learning engineers make at Shopify?

Machine learning engineers at Shopify typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Salaries can increase with expertise in areas like data modeling, Python, and machine learning frameworks such as TensorFlow or PyTorch.

Will AI replace Shopify developers?

Shopify developers design and customize online stores using tools like Liquid, APIs, and apps. While AI can automate certain tasks such as data analysis or basic coding, it is unlikely to fully replace skilled developers who require creativity, problem-solving, and customization expertise in building complex e-commerce solutions.

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

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.

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.

Does Shopify use machine learning?

Shopify employs machine learning techniques to enhance its platform, including personalized product recommendations, fraud detection, and inventory forecasting. These tools help improve user experience and operational efficiency for merchants using Shopify's e-commerce solutions.

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.

Is ML a high paying job?

Machine learning roles, including those related to Shopify and e-commerce platforms, tend to offer high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of ML frameworks. Salaries vary based on experience, location, and industry, but generally, ML jobs are considered well-paying compared to many other tech roles.
What cities near Coraopolis, PA are hiring for Shopify Machine Learning jobs? Cities near Coraopolis, PA with the most Shopify Machine Learning job openings:
Customer Service Specialist

Customer Service Specialist

Opulo, Inc

Pittsburgh, PA

$16 - $21/hr

Other

Medical, Retirement

Posted 14 days ago


Job description

Manufacturing is changing, and we need the best people on the job. 

At Opulo, we’re changing the way folks bring their product to market. Our machines facilitate mid-scale manufacturing, where you make your product at a moderate scale before making the risky and expensive jump to mass production. 

As a Customer Service Specialist, you will help our customers both assemble and operate their Pick-and-Place machines, which place tiny electronic components onto circuit boards. You will also help monitor and keep track of any issues customers are experiencing with the product, so that our engineering team can prioritize what to work on. You’ll also help prospective customers determine what hardware is right for them based on their project requirements.

If you want to be a part of changing manufacturing, we want you to join us as a Customer Service Specialist.

The Job:

  • Help customers get up and running with their pick and place machine
  • Keep an eye on any outstanding issues, and advise our engineering department on what needs to be addressed
  • Help prospective customers determine what they need, and manage quoting for their hardware
  • Spend time in our Discord community, learning about the requests and complaints of our users to help us make a better product

You:

  • Are excited to work for a young, fast growing company where things are never boring
  • Have dealt with any type of CNC machine before (3D printer, laser cutter, CNC Mill, etc.)
  • Can communicate technical information clearly and concisely 

This position is part-time, anywhere from 10-20 hr/week depending on ticket volume. We are growing rapidly, and there's a high likelihood of the option for full time as conditions allow. Our base pay range is $16 - $21 per hour, depending on experience and pre-existing skill set.
This role requires you to be in our Pittsburgh, PA office on a regular basis.

Responsibilities and Duties
  • Help customers with questions regarding assembling or operating their machine
  • Answer questions about shipping timelines, help process returns or refunds
  • Monitor and track issues in the field and advise on what issues need to be prioritized
  • Record and update issue status
  • Help prospective customers determine what hardware best suites their needs
  • Generate and manage quotes for prospective customers
  • Be on top of our community in Discord, helping spot issues and identify areas for improvement
  • Willingness and ability to adapt to an evolving work environment within a young company
  • Ability to resolve problems independently when appropriate
  • Manage and record information according to company standards
Bonus Skills:

Prior experience with, or interest in learning, the following skills/tools:

  • Ecommerce tools such as Shopify, WooCommerce, etc.
  • CRM software like HubSpot or Zendesk
  • Experience with electronics, and related manufacturing process
  • Knowledge of a foreign language - Chinese or German especially
Policy: 
  • Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time
  • This description reflects management's assignment of essential functions, it does not prescribe or restrict the tasks that may be assigned
  • This job description is subject to change at any time
  • Position details:
    • Eligible to work in the US without restriction or sponsorship 
    • Position starts part-time, on a 10-20 hr/week basis
    • This role is hybrid, but being able to come to the office in person on a regular basis is required.
    • Exact schedule is flexible, we understand that as a part-time teammate you will most likely have other commitments such as school or additional jobs that we will need to take into consideration.
    • Position does not include healthcare benefits or any employer sponsored retirement plan

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Even if you don't check every box, but see yourself contributing in some way, please apply!