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Shopify Machine Learning Jobs (NOW HIRING)

Founding GTM Lead

New York, NY · On-site

$175K - $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 first ...

Manager of Data Engineering

Brooklyn, NY · On-site

$200K - $220K/yr

... and machine learning. Preferred * Experience in luxury retail, fashion, or premium consumer e ... Shopify, NetSuite, Snowflake, and/or Looker. Success Metrics * Stability, reliability, and ...

Data Scientist

New York, NY · On-site

$200K - $225K/yr

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 ...

Data & Analytics Engineer

Calabasas, CA · On-site

$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)

... and machine learning. Preferred * Experience in luxury retail, fashion, or premium consumer e ... Shopify, NetSuite, Snowflake, and/or Looker. Success Metrics * Stability, reliability, and ...

... 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

$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)

Channel planners: Roopesh Athmuri (Amazon), Hassan Ali (Shopify), Ivana Majstorovic (Acta ... You're learning. First 90 days * Demand Review runs on a clean agenda that produces a locked ...

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.

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 ...

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.

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.

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 ...

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 ...

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 ...

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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
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:
Full Stack Engineer - Tech Lead

Full Stack Engineer - Tech Lead

EvolutionIQ

Manhattan, NY • On-site

Full-time

Medical, Dental, Retirement, PTO

Re-posted 28 days ago


Job description

Company Description

Evolution IQ is a silicon valley funded technology enterprise firm founded by industry veterans from Google and Bloomberg. We're transforming big insurance carriers with an AI powered platform by helping them catch fraud, make instant decisions, and see the future.

We develop machines with deep comprehension and vast data access to guide humans to the optimal decisions over large numbers of claims.  Our training data includes all parts of historical insurance claims, as well as data we source externally such as medical, weather, geographic, demographic demographic and court data. Our findings are presented in intuitive products to streamline the claim investigation process. The result is potential savings in the hundreds of millions, increased fairness and added precision to insurance pricing. 

We're working to make the insurance industry faster, fairer and cheaper for everyone. We're pre series-A, you'll be joining the founding team.

Our Team

We are founded by a senior Google AI expert and a Bridgewater Associates Algorithmic Investor & Stanford MBA. We're not looking for employees. We're looking for partners in work, partners in culture-building, and partners in the future of data-driven insurance. The development team consists of world class engineers and leaders from companies like Google and Bloomberg. Each individual has had great success building large scale enterprise software and is now excited to try their hand at transforming the insurance industry.

Our investors include First Round Capital (seed investors in Uber, Square, Looker), FirstMark (Airbnb, Pinterest, Shopify) and Foundation Capital (Lending Club, CoverWallet, Netflix) and we have deep support within each of their organizations. You will also have full access to their networks and counterparts at portfolio companies for advice, ideas and community.

Job Description

Who are you? A rockstar tech lead full stack engineer responsible for the entire life cycle of designing, building and launching state of the art enterprise applications. You thrive in autonomy and do your best work in greenfield projects where you have high levels of ownership. You're extremely creative and often bring new ideas to the table spontaneously. 

You're a natural-born hacker who can rapidly build prototypes to prove out ideas, but take pride in holding extremely high standards when developing production level code. You design highly modular architectures, understand the value of code reviews and take pride in writing professional technical design documents when input from others is needed. You exercise state of the art engineering practices in testing and deployment and know the right balance between moving fast and breaking things.

You love working directly with the head of product, data science team, UX designer, and occasionally non-technical end users. You're a great listener and enjoy presenting technical ideas to a technical and non-technical audience alike.

You'll be working as part of a team of experts from Google and Bloomberg to secure the reputation as the most trusted and elite enterprise development organization in the industry. You'll do this by exercising state of the art practices in security, scalability, stability and speed.

The applications you'll be building will deliver machine learning insights and workflows to our users in a beautiful, intuitive UX. We'll make their jobs more fun, more productive, more effective and deliver more fairness across the board.

You will have a key role in shaping the future of Evolution IQ's products. From technology choices to building the roadmap, you will have a large amount of ownership and scope in this role. The team will look to you to provide crucial technical expertise and help prioritize features.

Qualifications

The ideal person for this role should have extensive experience going through the full feature development life cycle: from working with product managers to decide scope, designing a database schema for representing the data, considering the serving needs, working with designers to figure out UX, implementing the interface, and finally maintaining the feature/system.

Design, build and launch state of the art enterprise backend and frontend architectures that support multi-tenant, multi-user scenarios in a secure, scalable way with Python and Postgres

Build beautiful, intuitive UX with React

Work within, and contribute to the core platform codebase

Work directly with the head or product, data science group as the technical application owner during design and development

Remain agile and move between rapid prototyping and stable production development

Maintain extreme levels of enterprise grade quality utilizing state of the art practices in security, scalability, lighting fast performance, and visual UX quality

Write professional design documents, perform code reviews, and maintain state of the art engineering practices in day to day work

Tell stories with data by building rich, intuitive data visualizations

Builds deeply intuitive understanding of the user journeys

Builds roadmaps and delivers features at a fast pace

Role Competencies

Has acted as technical lead or senior engineer with major contribution in designing, building, and shipping complex enterprise apps using React, Python and Postgres

Solid fundamental computer science skills with 5+ years of fulltime industry experience

Expert data architect accustomed to solving complex, multi dimensional problems with advanced usage of relational databases, data assets and DAG pipelines in Python and Postgres

Versed in working with big data and solving applied big data problems

Expert developer who uses writes clean, efficient, easy to understand code with unit tests, functional design patterns

Expert in creating beautiful UI and fluid UX with React

Expert in designing data schemas, ingesting and processing large data streams

Comfortable working within cloud environments

Dagster experience and machine learning experience are a bonus

Cultural Fit

Highly autonomous, thrives as owner of a complex technical project

Loves working with product designers and customers to solve complex design problems with technology

Results-oriented, eager to ship

Extreme self-starter and self-motivator

Thrives in a rapidly changing environment

Enthusiastic and supportive of code reviews

Enthusiastic about writing technical design documents

Rapid-fire experimenter

Extremely high quality production code that is tested, modular and well documented

Extremely high standards and holds others to do the same 

Open to giving and receiving critical feedback

Believes in the mission of the company, cares about fundamental fairness

Enthusiasm for team work

Additional Information

Benefits

We think work should be intense, rewarding and flexible. While there is a standard set of benefits listed below, we are small enough that we can consider any specific requests that you may need. We're a well-funded company and able to offer competitive compensation packages and real ownership in your work. Specific compensation and equity varies with experience level.

 Full Medical and Dental Insurance

 401K

 Flexible vacation

 Paid team lunches in office

EvolutionIQ is an equal opportunity employer because we value diversity in all meanings of the word. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.