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Shopify Machine Learning Jobs in Woodbridge, NJ (NOW HIRING)

Chief of Staff, GTM

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 first ...

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 ...

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 ...

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

Shopify Machine Learning information

See Woodbridge, NJ salary details

$25.7K

$43K

$88.8K

How much do shopify machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for shopify machine learning in Woodbridge, NJ is $42,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $46,400.00 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.
What job categories do people searching Shopify Machine Learning jobs in Woodbridge, NJ look for? The top searched job categories for Shopify Machine Learning jobs in Woodbridge, NJ are:
What cities near Woodbridge, NJ are hiring for Shopify Machine Learning jobs? Cities near Woodbridge, NJ with the most Shopify Machine Learning job openings:
Infographic showing various Shopify Machine Learning job openings in Woodbridge, NJ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,994 per year, or $20.7 per hour.

Senior Applied Machine Learning Engineer

EvolutionIQ

Manhattan, NY • On-site

$134K - $177K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 19 days ago


Job description

Company Description

We're working to make the insurance industry faster, fairer and cheaper for everyone.
Evolution IQ is revolutionizing the insurance industry by changing the way claims analytics are done. We are bringing bleeding-edge technologies to one of the world's oldest industries.
Evolution IQ is developing a next-gen platform for the insurance industry. 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. 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. 

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.


Investors
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 machine learning engineer who wants to work in the areas of machine learning, natural language processing, information extraction, graph models, and AI architectures. You want to join a close-knit group and make a big impact. You thrive in an ambiguous environment and are intrinsically motivated and "just figure it out." Be the technical owner of a new, complex machine learning project, working closely with Evolution's ML product manager. Your mission starts with mapping out the opportunity and continues to launching a solution in production.

Qualifications

Outcomes

Work with PM to map business requirements to a machine learning solution

Ingest and clean raw client data

Integrate into Evolution's machine learning platform

Build, tune, evaluate models (create custom evaluation strategies)

Reproduce ML prototype in a live production environment 

Role Competencies

Works well with PM to map business requirements to ML architectures on a novel problem

Acted as owner of applied ML project from conception to shipping (1 or more)

Acted as part of an ML team that shipped a product

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

Expert in Python 3 and Pandas or equivalent data manipulation library

Expert data architect eager to solve complex, multi dimensional big data problems with advanced strategic leverage of databases, data assets and DAG pipeline

Excellent document writing skills

Extreme creativity and resourcefulness, appetite to solve previously unsolved problems

Other

Extreme self-starter and self-motivator 

Holds self to extremely high standards, and inspires others to do the same 

Open to giving and receiving critical feedback

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

Able to handle the ups and downs of early startup life

Enthusiasm for team work and pair work

Kind, empathetic, polite and professional

Additional Information

All your information will be kept confidential according to EEO guidelines.

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.