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Shopify Machine Learning Jobs (NOW HIRING)

Royal Cyber, Inc.

IT Services Sales

Naperville, IL · On-site

$90K/yr

... across machine learning, generative AI, MLOps, and data platform modernization for enterprise ... Shopify Plus, BigCommerce, Adobe Commerce (Magento), Salesforce Commerce Cloud, commercetools, SAP ...

908 Devices

Product Line Manager

Danbury, CT · On-site

$80K - $90K/yr

... machine learning. For more information, visit 908devices.com 908 Devices has a corporate office in ... Experience with Salesforce, and Shopify websites is a plus * Some travel for trade shows, workshops ...

908 Devices

Product Line Manager

Danbury, CT · On-site

$80K - $90K/yr

... machine learning. For more information, visit 908devices.com 908 Devices has a corporate office in ... Experience with Salesforce, and Shopify websites is a plus * Some travel for trade shows, workshops ...

Comfrt

Product Manager, Applications & Services

Our Storefront is a modern, headless Shopify-powered platform serving customers seeking wellness ... LLMs, machine learning, and intelligent automations to streamline workflows. * Manage the full ...

True Classic

Data & Analytics Engineer

Calabasas, CA

$121K - $145K/yr

... machine learning applications * Work alongside merchandising, operations, and analytics ... Daasity, Shopify/Amazon data * Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale)

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All JobsShopify Machine Learning Jobs

Shopify Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do shopify machine learning jobs pay per year?

As of Jul 17, 2026, the average yearly pay for shopify machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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.

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.
More about Shopify Machine Learning jobs
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What states have the most Shopify Machine Learning jobs? States with the most job openings for Shopify Machine Learning jobs include:
What job categories do people searching Shopify Machine Learning jobs look for? The top searched job categories for Shopify Machine Learning jobs are:
Shopify Machine Learning jobs near you
Pre Sales solutions consultant

Pre Sales solutions consultant

Tharu Technologies

Naperville, IL • On-site

Other

Medical, Dental, Vision, Retirement

Re-posted 21 days ago

Job description

Solutions Consultant eCommerce & Data Science
Naperville, IL (Hybrid Naperville + Chicago)

Full-time
About the role
This is not a traditional sales role. You will be the technical face of one of our two practices eCommerce or Data Science / AI running demos, leading webinars, presenting at industry events, and converting technical conversations into pipeline. You will own your demo environment end-to-end, stand up POCs without leaning on an architect, and translate platform and solution capability into business outcomes for buyers ranging from Head of Digital, Director of eCommerce, and Director of Data through to the CIO and CTO.
eCommerce replatforming, headless and composable commerce, and POCs spanning mid-market and enterprise buyers, including both established retailers and digitally-native brands.
Data Science / AI POCs and use-case discovery across machine learning, generative AI, MLOps, and data platform modernization for enterprise customers.
A typical week includes two or three live demos in your sandbox, one webinar or partner event, discovery calls with prospects sourced through marketing and your own outbound, and ongoing collaboration with our delivery teams to feed real implementation patterns back into your pitch. Lead generation today is driven heavily by the events and webinars our Solutions Consultants run so what you build directly shapes the pipeline.
What we re looking for
Two to three years in solutions consulting, sales engineering, technical pre-sales, or technical consulting tied to either modern eCommerce platforms or data science and AI tooling. We are platform-agnostic on candidate background what matters is that you understand your domain end-to-end and can hold a credible conversation across architecture, integrations, and business value.
You can deliver a demo unaided and you are comfortable doing it in front of a room. You communicate with the polish of someone who has spent time in front of executive buyers. A master s degree (MBA, MS, or similar) is strongly preferred we recruit actively from Kellogg, Booth, and comparable programs. US work authorization without ongoing sponsorship is preferred.
Relevant backgrounds by track:
eCommerce track: Shopify Plus, BigCommerce, Adobe Commerce (Magento), Salesforce Commerce Cloud, commercetools, SAP Commerce, Oracle Commerce, or comparable enterprise commerce platforms.
Data Science / AI track: Python and SQL fluency; hands-on exposure to ML and AI workflows; comfort with platforms such as Snowflake, Databricks, AWS SageMaker, Azure ML, Google Vertex AI, or LLM tooling (OpenAI, Anthropic, Hugging Face); awareness of MLOps patterns. A data science, statistics, or ML engineering background is welcome provided the candidate has client-facing instincts.
Who this role is not for
This role is not the right fit if your background is primarily individual-contributor engineering or data science work with no client-facing experience, or if you have been a quota-carrying AE without hands-on technical depth. We are looking for the rare profile in the middle technical enough to own the demo, commercial enough to own the conversation.
What we offer
Hybrid schedule based out of our Naperville HQ with regular days at our Chicago Loop office. Health, dental, vision, 401(k), and the resources to build a practice you can point to in five years and say you built it.

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