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Shopify Machine Learning Jobs (NOW HIRING)

Slingshot AI

Founding GTM Lead

New York, NY · On-site

$150K - $275K/yr

Our team spans machine learning, product, engineering, conversational design, clinical, growth, and ... Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. The Role We are hiring our ...

Highbeam Inc.

Data Scientist

Manhattan, NY · On-site

$90 - $130/hr

Our team includes alumni of Shopify, Square, Toast, Rippling, and McKinsey. We've raised $42M in ... Strong background in statistics, machine learning, computer science, or quantitative discipline ...

Pattern

Ecommerce Compliance Specialist

Lehi, UT · Hybrid

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Basic familiarity with Walmart.com, and other ecommerce marketplaces (eBay, Shopify, Etsy, etc.

Nationwide Southwest

Office Administrator

Austin, TX · On-site

$20/hr

The office runs like a well-oiled machine because of your hard work and efforts. Technology is ... Shopify Utilize established Standards of Practice to upload new products and update existing ...

Pattern

Ecommerce Compliance Specialist

Lehi, UT · On-site

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Basic familiarity with Walmart.com, and other ecommerce marketplaces (eBay, Shopify, Etsy, etc.

Instacart

Ads AI Analytics Lead II

Strong understanding of AI and machine learning concepts, with experience creating AI-driven ... Familiarity with retail media or ad platforms, including Amazon, Google, Meta, Shopify, or DoorDash ...

Pattern

Ecommerce Compliance Specialist

Lehi, UT · Hybrid

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Basic familiarity with Walmart.com, and other ecommerce marketplaces (eBay, Shopify, Etsy, etc.

PLAYERS CAFE USA LLC

Team Lead

Austin, TX

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 ...

Charm Industrial

Engineering Technician

Fort Lupton, CO · On-site

$35 - $45/hr

We value psychological safety, collaboration, and continuous learning. We take calculated risks and ... Use machinery and powered equipment (i.e. forklift, personnel baskets, telehandler,scissor lifts ...

Charm Industrial

Engineering Technician

Fort Lupton, CO

$35 - $45/hr

We value psychological safety, collaboration, and continuous learning. We take calculated risks and ... Use machinery and powered equipment (i.e. forklift, personnel baskets, telehandler,scissor lifts ...

Doen

Full-Time Stylist - Bleecker

New York, NY · On-site

$25 - $28/hr

Interface with the store team in a manner that promotes learning, respect and a positive work ... Technological competency and computer literacy; experience with Shopify and desired. Physical ...

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Showing results 41-60

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 Aug 9, 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?

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
What cities are hiring for Shopify Machine Learning jobs? Cities with the most Shopify Machine Learning job openings:
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
Infographic showing various Shopify Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Founding GTM Lead

Slingshot AI

New York, NY • On-site

$150K - $275K/yr

Full-time

Re-posted 3 days ago

Job description

Slingshot AI
Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want.
We're building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we'd love to hear from you.
Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London.
We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others.
The Role
We are hiring our dedicated Founding GTM Lead to work closely with leadership to build our B2B GTM motion. Reporting to Neil Parikh, you will be both a strategic partner and boots on the ground executor; defining our strategy for how we build credibility and rapport with payers and employers, then doing full execution to close those accounts. At this stage, every B2B conversation is also a product conversation, a vision sale, and a PMF decision.
Your job is to be the strategist and to build and run the engine underneath this motion. You'll turn a handful of exploratory conversations into a high-volume, well-managed pipeline across payers, employers, health systems, and governments; keep our most important deals alive between conversations; and arm the team with the materials that make a first-of-its-kind purchase feel safe. Our most important goal is to get our first enterprise customers and make sure we build strong relationships that can grow for the future.
Key responsibilities
  • Partner with founders (Neil & Daniel) on commercial strategy: channel prioritization, pricing and packaging, and how we build credibility and demonstrate clinical and economic value to payers and employers.
  • Own pipeline and deal management from first meeting through signed contract: scheduling, diligence, security reviews, legal coordination, commitment tracking, and follow-ups that keep deals alive between conversations.
  • Stand up our GTM infrastructure: implement a lightweight CRM and the pipeline tracking and reporting that give leadership an accurate view of the funnel.
  • Drive B2B marketing and sales enablement: build the decks, one-pagers, case studies, and ROI models that help a Fortune 100 benefits leader or a payer's clinical team say yes.
  • Build top-of-funnel volume: develop target account lists across payers, employers, health systems, and government; run outreach; conduct deep account research; book meetings; and manage early-stage relationships.
  • Inform strategy with market intelligence: track the competitive landscape, buyer trends, and unmet needs across our channels to sharpen positioning and pricing.
  • Translate what we learn from every call: about packaging, pricing, partnership structures, and which channels convert: into sharper materials and a smarter motion, fast.

About you
  • You have 4+ years of experience, ideally combining time at a top healthcare strategy or consulting firm (e.g., healthcare practices at McKinsey, Bain, or BCG; Oliver Wyman Health; Advisory Board; Manatt Health; Chartis) with operating experience in GTM, BD, partnerships, or growth at a high-growth company; digital health strongly preferred.
  • You know the buyer's world. You've spent time inside or selling into payers, employer benefits, or health systems, and you understand how these organizations evaluate, procure, and de-risk new solutions.
  • Deeper experience; payer contracting, value-based care models, market access; is a strong plus, as is behavioral health exposure.
  • You're strategic and operational on the same day. You can pressure-test a pricing model or channel hypothesis with rigor, then immediately turn around and send 30 researched outreach emails. Neither mode feels beneath you or beyond you.
  • You have a bias to action. You send the imperfect email today rather than the perfect one in two weeks, and you'd rather learn from a real buyer's reaction than polish in a vacuum.
  • You're comfortable with ambiguity. What we sell, how we package it, and which channel converts will all shift repeatedly. You find that energizing, not destabilizing.
  • You have genuine conviction about the mission. Buyers can sense whether it's real. So can we.

What we offer:
  • A chance to join a passionate tight-knit team working on something to change the world
  • Competitive compensation (top of personal market)
  • Travel between our NYC / London offices
  • Usual startup perks like free lunch and coffee in office + generous learning budget
  • We cover your personal therapy

Apply