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Shopify Machine Learning Jobs (NOW HIRING)

Slingshot AI

Licensed Therapist

New York, NY · On-site

$50 - $75/hr

Our team spans machine learning, product, engineering, conversational design, clinical, growth, and ... Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. Who are we, and why should you ...

Slingshot AI

Content Creator - Social

New York, NY · On-site

$135K - $150K/yr

Our team spans machine learning, product, engineering, conversational design, clinical, growth, and ... Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. The Role This isn't a typical ...

908 Devices

Product Line Manager

Danbury, CT

$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 ...

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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 Jun 27, 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.

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.
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 June 2026, with employment types broken down into 9% As Needed, 46% Full Time, 9% Temporary, and 36% Nights. 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.
HR Infrastructure & Operations Manager

HR Infrastructure & Operations Manager

PagerDuty

San Francisco, CA • On-site

Full-time

Retirement, PTO

Posted 15 days ago

Job description

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization.

The Role Overview

PagerDuty is looking for a forward-thinking, AI-fluent HR Infrastructure & Operations Manager to revolutionize our people operations. Sitting at the hyper-strategic intersection of HR technology, automation, and global workforce planning, you will architect and scale the foundational systems that power our global talent footprint. While your initial priorities will anchor on driving our Recruiting Technology Ecosystem and Augmented Workforce Program, your broader mandate will be to continuously iterate, design, and optimize our overarching HR processes and infrastructure to dynamically support the evolving needs of the business.

If you are a builder who loves breaking down operational silos, architecting intelligent workflows with cutting-edge AI tools, and driving organization-wide impact, this is your next big challenge.

Why This Role is Exciting
  • Architect Intelligent Solutions: Act as the technical mastermind behind our HR tech, balancing advanced automation with seamless user experiences.
  • Drive AI Fluency: Lead the charge in building AI agents and workflows that eliminate manual friction and unlock predictive insights.
  • Navigate & Influence: Serve as a trusted advisor to senior leadership across Talent Acquisition, Legal, Finance, and Procurement to align compliance with rapid business growth.
  • Global Impact: Deliver measurable business outcomes that directly influence company-wide operational efficiency and transform how multiple departments operate.

Key Responsibilities & FY27 Priorities:

1. Pioneer the Augmented Workforce Program
  • Build from Scratch: Design and launch PagerDuty’s comprehensive global augmented workforce program (EOR, contractors, and interns).
  • Automate Compliance & Operations: Deploy AI-powered tools and agents to streamline the worker lifecycle from requisition to offboarding, automating compliance checks and manager recommendations.
  • Elevate the Experience: Create a high-engagement, highly automated onboarding and offboarding lifecycle tailored specifically to augmented talent.
2. Optimize Recruiting Tech & Process Excellence
  • Supercharge the ATS: Audit and reconfigure our core ATS (Greenhouse) to establish frictionless, standardized global workflows.
  • Maximize Platform ROI: Audit the broader tech stack (scheduling, assessments, background checks) to eliminate configuration bloat and maximize interoperability.
  • Unleash Predictive Analytics: Centralize fragmented talent data into high-velocity, machine-learning-driven dashboards to forecast pipeline bottlenecks and measure true operational business impact.
What You Bring to the TeamBasic Qualifications:
  • 7+ years of progressive experience in Recruiting or HR Operations with a deep focus on the employee lifecycle.
  • HR Tech Mastery: Direct hands-on experience configuring and managing enterprise tools like Workday and Greenhouse.
  • Program Builder Core: Proven track record of launching compliance-heavy programs from the ground up, including global EOR and contingent workforce management.
  • Data & Project Champion: Exceptional project management skills paired with a data-driven mindset capable of translating complex metrics into strategic execution.
Preferred Qualifications:
  • AI & Integration Savvy: Experience working with integration platforms (Zapier, Workato, custom APIs) and a passion for building no-code/low-code AI agents or implementing solutions using tools like Gemini, Claude, or ChatGPT.
  • Tech Sector Native: Experience thriving in a fast-paced, high-growth technology environment.
  • Advanced Analytics: Data analysis proficiency (SQL) and a solid grasp of how machine learning optimizes HR infrastructure.

The base salary range for this position is 114,000 - 191,400 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

  

Hesitant to apply?

We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn’t the right role or time - sign up for job alerts!

Where we work

PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in:

Location restrictions:
Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia
Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon
United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming
Candidates must reside in an eligible location, which vary by role.

How we work

Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian.

People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance.

What we offer

As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site.

Your package may include:

  • Competitive salary
  • Comprehensive benefits package 
  • Flexible work arrangements
  • Company equity*
  • ESPP (Employee Stock Purchase Program)*
  • Retirement or pension plan*
  • Generous paid vacation time
  • Paid holidays and sick leave
  • Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
  • Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*
  • Paid volunteer time off: 20 hours per year
  • Company-wide hack weeks
  • Mental wellness programs

*Eligibility may vary by role, region, and tenure

About PagerDuty

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses

PagerDuty is Great Place to Work-certified™, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. 

Go behind-the-scenes on our careers site and @pagerduty on Instagram.

Additional Information

PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy.

PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs.

PagerDuty uses the E-Verify employment verification program.

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