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Shopify Machine Learning Jobs in Pasadena, CA (NOW HIRING)

... machine learning and generative AI workloads. * Background in retail, e-commerce, or consumer goods; familiarity with Shopify, ERP, or supply chain platforms. * Cloud certifications (AWS, GCP, or ...

Data & Analytics Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

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

Shopify Machine Learning information

See Pasadena, CA salary details

$27.8K

$46.5K

$96K

How much do shopify machine learning jobs pay per year?

As of Jul 28, 2026, the average yearly pay for shopify machine learning in Pasadena, CA is $46,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,200.00 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.
What cities near Pasadena, CA are hiring for Shopify Machine Learning jobs? Cities near Pasadena, CA with the most Shopify Machine Learning job openings:
Infographic showing various Shopify Machine Learning job openings in Pasadena, CA as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,450 per year, or $22.3 per hour.
Principal Enterprise Architect

Principal Enterprise Architect

TOMS

Culver City, CA • On-site

$180K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

TOMS is in business to improve lives. When you wear or work with TOMS, you help support children’s education, health and well-being, giving kids everywhere the gift of better tomorrows.

About the Role:

TOMS is seeking a Principal Enterprise Architect to join our AI & Enterprise Technology team. As a senior IC and technical lead, you will set architectural direction for a blended team of engineers and contractors, evolve our enterprise platform, and drive AI, integration, and cloud initiatives that directly support TOMS business goals. You will partner with executive leadership and cross-functional stakeholders to align technology investments with business outcomes while elevating the technical capabilities of the teams around you.

The Impact You’ll Make:

Technical Leadership

  • Serve as the day-to-day technical lead for a blended team of junior engineers and contractors — guiding designs, unblocking delivery, and elevating quality through hands-on mentorship and code reviews.

  • Act as the primary technical escalation point, helping the team navigate complex trade-offs, resolve ambiguity, and make sound architectural decisions under pressure.

  • Break down complex initiatives into clear, actionable work and invest in the long-term growth of junior engineers through structured walkthroughs and stretch assignments.

Platform & Systems Design

  • Lead and drive the enterprise architecture roadmap, establishing patterns, standards, and guardrails across product, data, and infrastructure domains.

  • Lead architecture reviews for major initiatives, ensuring solutions are scalable, secure, and aligned with long-term business goals.

  • Drive the evolution of Tom's core platforms — commerce, supply chain, and customer experience — and establish reusable reference architectures that accelerate team velocity.

Integration Architecture

  • Lead the definition of Tom's integration strategy — setting standards for how internal systems, third-party platforms, and external partners connect via APIs, events, and messaging.

  • Lead the design and governance of API and event-driven integration patterns, including REST, GraphQL, and streaming architectures, ensuring reliability, scalability, and security across the enterprise.

  • Lead the evaluation and adoption of integration platforms (e.g., MuleSoft, Boomi, Kafka, EventBridge), providing guidance on fit, trade-offs, and total cost of ownership.

  • Establish data exchange standards and integration contracts between core systems — ERP, commerce, supply chain, and customer data — and ensure integrations are well-documented, testable, and built for long-term maintainability.

AI Enablement & Innovation

  • Lead the identification and architecture of high-impact AI/ML opportunities across commerce, supply chain, and customer experience — including the foundational infrastructure for model serving, feature stores, and experimentation frameworks.

  • Lead the evaluation of AI tools, platforms, and vendors — including generative AI solutions — providing clear guidance on build vs. buy trade-offs, integration risk, and long-term scalability.

  • Establish governance frameworks for responsible AI adoption, covering data privacy, model transparency, and bias mitigation standards.

  • Partner closely with product and business teams to translate AI opportunities into concrete architectural requirements and delivery roadmaps, and stay current on emerging trends to inform leadership decisions.

Customer & Partner Facing

  • Partner with product, commercial, and operations leaders to translate business strategy into actionable technology architecture.

  • Represent Tom's technical capabilities in vendor negotiations and partner integrations; communicate architectural decisions and trade-offs clearly to executive stakeholders.

What You Bring:

  • 12+ years in technology with 5+ years in enterprise or solutions architecture at a principal or staff level.

  • Proven experience as a technical lead for engineering teams and contractors without formal management authority.

  • Deep expertise in distributed systems, cloud-native platforms (AWS, GCP, or Azure), and enterprise integration patterns including APIs, event-driven architecture, and middleware.

  • Track record of influencing technical direction at the executive level with strong communication skills across technical and business audiences.

  • Familiarity with AI/ML concepts and experience architecting platforms to support machine learning and generative AI workloads.

  • Background in retail, e-commerce, or consumer goods; familiarity with Shopify, ERP, or supply chain platforms.

  • Cloud certifications (AWS, GCP, or Azure) and experience with TOGAF, Zachman, or similar architecture frameworks.

  • Hands-on experience with integration platforms (MuleSoft, Boomi, Kafka) and AI/ML tooling (SageMaker, Vertex AI, Bedrock, or OpenAI).

What We Give:

  • This is a Direct Hire role with a target annual salary range of $180,000 - $200,000 based on experience, plus an annual bonus based on the company's performance

  • Hybrid/Remote work environment - whatever works best for you and your team

  • A $600 stipend when you join to furnish your home office how you like, plus $100 annually to refresh your supplies and gear

  • Medical, dental, and vision insurance; 401K with company matching

  • A generous PTO policy plus 12 paid annual holidays and one floating holiday

  • 4 free pairs of shoes per year (yes, free!)

  • Employee Discount on all of our products, plus discounts on partnering businesses

  • Wellness Program including resources for your mental health, physical well-being, personal finance, nutrition, etc.

  • DEI educational opportunities, including company-wide days of learning

  • Opportunities to volunteer with Giving Partners and Community Organizations

Don't meet every single requirement? We still encourage you to apply! Studies show that women, non-binary applicants, and people of color are less likely to apply for jobs unless they meet every single qualification. However, at TOMS, our diverse backgrounds, perspectives, identities, and talents help us thrive.

TOMS is a proud B Corporation and a member of the Fair Labor Association. We're committed to transparent and equitable compensation, benefits, and opportunities.

EEO Statement: TOMS is an equal opportunity employer, committed to intentional anti-racism in all areas of our organization and will consider qualified applicants with criminal histories in accordance with the L.A. Fair Chance Initiative Ordinance.

Compensation Range: $180K - $200K


TOMS logo

About TOMS

Sourced by ZipRecruiter

Industry

Apparel and accessories stores

Company size

201 - 500 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006