... Shopify Enterprise/B2B, BigCommerce, CommerceTools, Contentful, APIworx, and other composable ... Integrate AI agents, machine learning models, and datadriven decisioning into digital solutions ...
... Shopify Enterprise/B2B, BigCommerce, CommerceTools, Contentful, APIworx, and other composable ... Integrate AI agents, machine learning models, and datadriven decisioning into digital solutions ...
... Shopify Enterprise/B2B, BigCommerce, CommerceTools, Contentful, APIworx, and other composable ... Integrate AI agents, machine learning models, and data-driven decisioning into digital solutions ...
... Shopify Enterprise/B2B, BigCommerce, CommerceTools, Contentful, APIworx, and other composable ... Integrate AI agents, machine learning models, and data-driven decisioning into digital solutions ...
Shopify Machine Learning information
See Warren, MI salary details
$23.9K - $29.3K
5% of jobs
$31.1K is the 25th percentile. Wages below this are outliers.
$29.3K - $34.6K
59% of jobs
$34.6K - $40K
9% of jobs
$40.4K is the 75th percentile. Wages above this are outliers.
$40K - $45.3K
17% of jobs
$45.3K - $50.6K
4% of jobs
$50.6K - $56K
2% of jobs
$56K - $61.3K
3% of jobs
$61.3K - $66.6K
0% of jobs
$66.6K - $72K
0% of jobs
$72K - $77.3K
0% of jobs
$77.3K - $82.7K
0% of jobs
$23.9K
$40K
$82.7K
How much do shopify machine learning jobs pay per year?
As of Jun 5, 2026, the average yearly pay for shopify machine learning in Warren, MI is $39,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,500.00 and $43,200.00 per year, depending on experience, location, and employer.
What is the difference between Shopify Machine Learning vs Shopify Data Analyst?
| Aspect | Shopify Machine Learning | Shopify Data Analyst |
|---|---|---|
| Required Credentials | Background in data science, machine learning, programming (Python, R) | Degree in statistics, data analysis, or related field |
| Work Environment | Developing algorithms, building predictive models, working with large datasets | Interpreting data, creating reports, supporting business decisions |
| Industry Usage | Creating AI-driven features, personalization, automation within Shopify | Analyzing 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.
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 cities near Warren, MI are hiring for Shopify Machine Learning jobs? Cities near Warren, MI with the most Shopify Machine Learning job openings:
Full-time
Posted 17 days ago
Job description
The Managing Director, Digital Experience leads OneMagnify's endtoend Digital Experience practice, overseeing web experience, composable commerce, personalization, experimentation, and datapowered customer experience solutions. This leader drives the strategic, operational, and commercial performance of the DX organization, elevating delivery quality, advancing modern platform capabilities, deepening partner relationships, and ensuring measurable client impact.Key Responsibilities
- Lead and scale the Digital Experience organization across strategy, engineering, commerce, datadriven experiences, and AIpowered capabilities.
- Serve as the senior executive interface for key C-level clients, ensuring exceptional delivery quality, strategic advisory, and measurable business outcomes.
- Shape and communicate a clear Digital Experience vision grounded in composable architectures, headless delivery models, and APIfirst solution design.
- Drive adoption and excellence across modern platforms such as Optimizely (CMS, Commerce, ODP), Salesforce Commerce + Agentforce, Shopify Enterprise/B2B, BigCommerce, CommerceTools, Contentful, APIworx, and other composable technologies.
- Champion the use of experimentation, personalization, and predictive analytics to improve customer experiences and drive commercial performance.
- Integrate AI agents, machine learning models, and datadriven decisioning into digital solutions using internal analytics capabilities and platformnative AI features.
- Ensure consistent, predictable, highquality delivery across U.S., nearshore, and offshore teams, improving utilization, delivery velocity, and margin.
- Build, mentor, and develop a highperforming, multidisciplinary DX team with a culture centered on accountability, innovation, and client value.
- Strengthen and expand partner relationships across key MACH and platform partners, driving certifications, co-marketing, and joint sales opportunities.
- Lead the development of verticalspecific solutions including B2B commerce, marketplace enablement, ERPintegrated workflows, and subscription/DTC models.
- Partner with Growth, Customer Experience, Data Analytics & Artificial Intelligence, and Technology leadership to shape differentiated offerings and support new business pursuits.
- Drive operational excellence through strong governance, delivery frameworks, forecasting, and P&L accountability for the DX practice.
- Represent OneMagnify in the market through thought leadership, platform events, and industry engagement.
- 12-15+ years leading digital experience, eCommerce, or digital transformation teams at scale.
- Deep expertise with leading platforms: Optimizely (CMS/Commerce/ODP), Salesforce Commerce + Agentforce, Shopify Enterprise/B2B, BigCommerce B2B Edition, CommerceTools, Contentful, APIworx, or similar.
- Demonstrated success designing and implementing award winning web experiences and commerce sites at leading digital agencies using headless architectures, APIfirst integrations, modular services, and modern digital platforms.
- Strong background in personalization, predictive analytics, experimentation, and datapowered experience optimization.
- Proven ability to lead large, multidisciplinary teams across multiple regions (U.S., nearshore, and offshore).
- Executivelevel client leadership experience and comfort managing commercial outcomes, delivery health, and P&L elements.
- Strong collaboration skills with cross-functional teams including Growth, Data & Analytics, Technology, and Performance Marketing.
- Experience integrating commerce workflows with ERP systems (SAP, Microsoft Dynamics, Oracle), PIMs and CDPs.
- Background in B2B marketplaces, manufacturing/industrial verticals, or subscription/DTC enablement.
- Familiarity with modern CDPs and decisioning engines (Optimizely ODP, Salesforce Data Cloud, mParticle, Segment).
- Accelerated revenue growth and elevated market presence.
- Sustain outstanding delivery quality and client satisfaction.
- Improved operational efficiency, utilization, and margin across DX using artificial intelligence for workflow automation.
- Growth in platform certifications, partner alignment, and coselling opportunities.
- Increased adoption of composable architectures, personalization, and experimentation across key accounts.
- Strengthened talent, culture, and leadership within the DX practice.