Every day, millions of people search for products across Shopify's ecosystem. That's not just queries—that's dreams, businesses, and livelihoods riding on whether someone finds the perfect vintage jacket or the exact drill bit they need. As a Machine Learning Engineer specializing in Search Recommendations, you'll be the one making that magic happen. With a search index unifying over a billion products, you're tackling one of the hardest search problems at unprecedented scale. We're building cutting-edge product search from the ground up using the latest LLM advances and vector matching technologies to create search experiences that truly understand what people are looking for.

Key Responsibilities:

• Design and implement AI-powered features to enhance search recommendations and personalization
• Collaborate with data scientists and engineers to productionize data products through rigorous experimentation and metrics analysis
• Build and maintain robust, scalable data pipelines for search and recommendation systems
• Develop comprehensive tools for evaluation and relevance engineering, following high-quality software engineering practices
• Mentor engineers and data scientists while fostering a culture of innovation and technical excellence

Qualifications:

• Expertise in relevance engineering and recommendation systems, with hands-on experience in Elasticsearch, Solr, or vector databases
• Strong proficiency in Python with solid object-oriented programming skills
• Proven ability to write optimized, low-latency code for high-performance systems
• Experience deploying machine learning, NLP, or generative AI products at scale (strong plus)
• Familiarity with statistical methods and exposure to Ruby, Rails, or Rust (advantageous)
• Track record of shipping ML solutions that real users depend on

Ready to make search more magical? Join the team that's making commerce better for everyone.

At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you're ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a live pair programming session, come prepared with your own IDE.
This role may require on-call work

Join Shopify's innovative team as we work on the development and implementation of state of the art HSTU models (Hierarchical Sequential Transduction Unit) to recommend the best growth drivers and action for merchants and buyers. You'll play a pivotal role in solving high-impact data problems that directly improve merchant success and consumer experience.

As a Machine Learning Engineering (MLE) lead or individual contributor, you'll be at the forefront of building AI solutions that anticipate both merchant needs and personalization for 100M+ shoppers.

Key Responsibilities:

• Develop and deploy Generative AI, natural language processing, and HSTU-based recommendation models at scale
• Design and implement scalable AI/ML system architectures supporting models
• Build sophisticated inference pipelines that process billions of events and deliver real-time recommendations
• Implement data pipelines for model training, fine-tuning, and evaluation across diverse data sources (merchant events, consumer interactions, payment sequences)
• Experiment with novel architectures
• Optimize for production through advanced techniques like negative sampling, ANN search, and distributed GPU training
• Collaborate cross-functionally with product teams, data scientists, and infrastructure engineers to deliver measurable business impact
• Communicate effectively with both technical and non-technical audiences, translating complex ML concepts into actionable insights

Qualifications:

• Mastery in recommendation systems, Gen AI or LLMs
• End-to-end experience in training, evaluating, testing, and deploying machine learning products at scale.
• Experience in building data pipelines and driving ETL design decisions using disparate data sources.
• Proficiency in Python, shell scripting, streaming and batch data pipelines, vector databases, DBT, BigQuery, BigTable, or equivalent, and orchestration tools.
• Experience with running machine learning in parallel environments (e.g., distributed clusters, GPU optimization).
• This role may require on-call work.

*At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you’re ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a pair programming interview, using your own IDE.

This role may require on-call work.*Ready to redefine e-commerce through AI innovation? Join the team that’s making commerce better for everyone.

Great advertising connects merchants with customers who genuinely need what they're selling. As a Machine Learning Engineer focused on Ads, you'll build the targeting and personalization technology that makes these meaningful connections happen at scale. You'll develop sophisticated machine learning models that help merchants reach the right audience at exactly the right moment, creating advertising experiences that drive real business growth while respecting the customer experience.

Key Responsibilities:

• Develop and optimize advanced machine learning models for ad targeting and personalization systems
• Analyze comprehensive ad performance data to identify optimization opportunities and maximize ad spend efficiency
• Collaborate closely with advertising teams to integrate ML solutions seamlessly into our ad platform
• Research and implement innovative algorithms and tools to enhance ad relevance and effectiveness
• Document technical insights and share best practices across engineering teams

Qualifications:

• Extensive experience building and deploying machine learning models for advertising systems at scale
• Strong proficiency in ML frameworks including TensorFlow or PyTorch, with expert-level Python programming skills
• Proven analytical skills for processing and extracting insights from large-scale datasets
• Demonstrated problem-solving abilities and innovative thinking in ad technology solutions
• Solid familiarity with ad platforms, A/B testing methodologies, and data-driven decision making processes
• Experience with statistical methods and performance optimization for ML systems

Ready to connect merchants with their perfect customers? Join the team that's making commerce better for everyone.

*At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you're ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a live pair programming session, come prepared with your own IDE.

This role may require on-call work*

Step into the future of AI with Shopify, where you'll be at the helm of cutting-edge machine learning innovation that transforms commerce and solves complex challenges. Leverage your expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and AI solutions to design, develop, and deploy state-of-the-art machine learning models. Work on impactful projects that enhance our products and services, ensuring AI solutions are effective, ethical, and scalable.

Key Responsibilities:

• Design and implement machine learning models in NLP and LLMs to address business challenges and improve customer experiences.
• Collaborate with cross-functional teams to integrate AI solutions into products for seamless deployment.
• Conduct research and experimentation to explore new methodologies and technologies, staying at the forefront of advancements in AI.
• Optimize models for production environments, focusing on scalability, efficiency, and performance.
• Analyze complex datasets to derive actionable insights for product development and strategy.
• Contribute to the academic community through publications and patents, sharing innovations with the broader field.

Qualifications:

• Proven experience in developing and deploying machine learning models, particularly in NLP and LLMs (e.g., BERT, T5, GPT).
• Proficiency in programming languages such as Python, with experience in ML frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of AI, model optimization, and deployment strategies.
• Excellent analytical skills with the ability to communicate complex ideas effectively.
• Ph.D. or Master’s degree in Computer Science, Data Science, or a related field with a focus on machine learning and AI is preferred but not required.

*At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you’re ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a pair programming interview, using your own IDE.

This role may require on-call work. Ready to redefine the future of AI with innovative solutions? Join the team that’s making commerce better for everyone.*

Join Shopify's dynamic engineering team, where code is core and innovation drives commerce forward. As a Java Search Infrastructure Engineer, you'll build distributed systems that power search query serving across billions of products. Collaborate with platform engineers and SREs to create scalable, resilient search infrastructure that helps merchants succeed at the infinite game of entrepreneurship.

Key Responsibilities:

• Build high-throughput scatter-gather systems that coordinate queries across hundreds of shards and aggregate results efficiently.
• Own search APIs end-to-end—interface design, load balancing, circuit breaking, and graceful degradation.
• Optimize networking and JVM performance—connection pooling, request batching, GC tuning, and profiling for high-load scenarios.
• Design comprehensive observability through structured logging, metrics, and distributed tracing.
• Build A/B testing frameworks enabling data-driven experimentation at scale.
• Solve distributed systems challenges—consistency, availability, latency tail tolerance, and failure handling.

Qualifications:

• Proven expertise in Java for building production distributed systems at scale.
• Experience with search infrastructure, particularly scatter-gather patterns and distributed query execution.
• Networking expertise—HTTP/2, TCP tuning, connection management, protocol design.
• Experience with service frameworks—Thrift, gRPC, or similar RPC frameworks.
• Observability expertise—building logging pipelines, metrics infrastructure, distributed tracing.
• Load balancing and A/B testing experience—consistent hashing, adaptive routing, experiment design.
• Strong collaboration skills, working with cross-disciplinary teams including platform engineers and data scientists.

*At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you’re ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a pair programming interview, using your own IDE.

This role may require on-call work. Ready to craft the world’s best product search and drive AI-powered commerce forward? Join us and make commerce better for everyone.*

At Shopify, Engineering Managers drive impact by giving engineers the direction, support, and coaching needed to excel in our Ruby and Rails ecosystem. As the largest Ruby and Rails shop in the world, we're looking for passionate leaders who can combine technical expertise with people leadership to scale the foundational pieces of Shopify's commerce infrastructure.

You'll lead a team of Ruby and Rails experts tackling complex problems that impact not only millions of merchants worldwide, but also the Ruby and Rails open source community.

About the Team

Shopify’s Ruby and Rails Infrastructure team exists to ensure that Ruby and Rails are 100-year tools that will continue to merit being Shopify’s toolchain of choice. Our goal is to be stewards of the language and ecosystem, both within Shopify and within the open source community.

Ruby and Rails Infrastructure is split into three subteams, each of which operates in its own domain:

• Ruby Infrastructure works on making sure the Ruby language continues scaling at Shopify by contributing to the performance, stability and evolution of the language and its implementation internally and upstream.
• Rails Infrastructure are stewards of Rails within Shopify, and work on improving Shopify’s usage of Rails internally and contributing improvements back to the framework and ecosystem.
• Ruby Developer Experience aims to deliver an opinionated and state-of-the-art Ruby development experience to Shopify and the Ruby community.

On Ruby and Rails Infrastructure, your teammates will be Ruby and Rails experts from around the world, including members of both the Ruby Core Committers and Rails Core teams.

Recent projects include building a new just-in-time compiler for Ruby, a better frontend for Ruby type checking, and a new structured logger for Rails.

Key Responsibilities

In this role, your day-to-day responsibilities will include:

• Managing a team of 6-12 individual contributors while working alongside 3 peer managers and reporting to the group's director.
• Solving cutting-edge language and framework problems while scaling the largest Rails application in the world.
• Collaborating with tech leads to make impactful decisions about how we scale the Ruby language, Rails framework, and our applications to support global commerce.
• Balancing technical contributions with people management and leadership responsibilities.
• Coaching and growing developers passionate about Ruby and Rails, helping maintain a high-performing team in Shopify’s unique remote-first environment.
• Ensuring the team works at the right level of the stack—whether internal to Shopify or in the broader Ruby and Rails ecosystem.
• Partnering with product teams to align language and framework investments with meaningful business outcomes
• Recruiting and hiring excellent candidates to grow the Ruby and Rails Infrastructure team.

What You Bring

• Engineering management experience
• You are excited about AI and how it will transform how we write code in the next year and beyond.
• Deep technical expertise in programming language internals or web framework development OR substantial experience managing teams with this kind of expertise

• Examples of relevant technical experience include:

• Implementing language internals such as parsers, compilers, interpreters, or runtimes

• Designing and implementing type systems
• Developing web application frameworks (Rails, Django, etc.)
• Building developer tools such as language servers, linters, or other static analysis tools
• Experience with Ruby and/or Ruby on Rails is preferred, but we welcome candidates with comparable depth in other languages and frameworks

Nice to Have

• Experience writing Ruby and Rails code, especially in large-scale production environments
• Experience contributing to Ruby, Rails, or related open-source projects
• History of technical writing or speaking about Ruby and Rails related topics
• Experience managing remote or globally distributed engineering teams

At Shopify, we move quickly—our hiring process aims to complete the entire interview loop within 30 days, including a pair programming interview where you'll demonstrate your Ruby expertise.

Join us in our mission to make commerce better for everyone while advancing the Ruby and Rails ecosystem for developers worldwide.

Back

Engineering Manager - Real Time Analytics

• Remote - Americas
• Engineering & Data

Apply Now

About the role

We’re Building the Future of Real-Time Merchant Analytics at Shopify!

Looking for a Senior Software Streaming Pipelines Engineer and an Engineering Manager to join our team reimagining how merchant data flows through modern streaming architectures. This isn’t your typical ETL role – you’ll be crafting solutions that challenge conventional approaches to data processing at global scale.

What makes this exciting?

• We’ve developed a declarative pipeline framework using Apache Beam, Google Cloud Dataflow, and ClickHouse that transforms how data engineers build streaming systems. Imagine YAML-driven pipelines that eliminate boilerplate code, real-time stream processing across multiple regions, and an architecture that makes complex data transformations feel effortless.
• You’ll work across multiple languages – Kotlin, Ruby, Python, and Rust – choosing the right tool for each challenge, alongside dbt for elegant data modelling and our custom framework that turns pipeline development into a configuration exercise rather than a coding marathon.
• The puzzle? Replacing entrenched batch systems with streaming-first architecture while merchants never notice the transition.
• You’ll tackle fascinating problems: How do you handle late-arriving data in distributed streams? What’s the most elegant approach to backfill terabytes while maintaining real-time processing? How do you architect lightning-fast real-time modelling that seamlessly combines data from multiple tables?
• We embrace AI and LLMs to accelerate repetitive tasks, freeing you to focus on the creative problem-solving that makes this work truly rewarding.

If you love turning “impossible” requirements into beautiful solutions, this is your playground.

About Shopify

Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

About you

Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

Before you apply, consider if you can:

• Care deeply about what you do and about making commerce better for everyone
• Excel by seeking professional and personal hypergrowth
• Keep up with an unrelenting pace (the week, not the quarter)
• Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
• Bring critical thought and opinion
• Put AI agents and tools to work on the tasks they're built for, and focus on the work only humans can do
• Embrace differences and disagreement to get shit done and move forward
• Work digital-first for your daily work

We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

Shopifyhttps://www.shopify.com

We hire people, not resumes. If you think you’re right for the role, apply now.

Apply Now

Work with us in your early career

Dev Degree Program

A 3-4-year program that allows people to earn a computer science degree while working. It’s designed for those looking to break into computer science or transition into the tech field.

Learn more about our Dev Degree Program

Internship Program

Shopify offers 4-month paid Engineering internships that are open to students, recent graduates, and those early in their careers.

Learn more about our Internship Program

APM Program

Shopify’s 12-month Apprentice Product Manager program is designed to help you gain the skills needed to start a product management career.

Learn more about our APM Program

Design Apprentice Program

Shopify's 12-month Design Apprentice Program pairs early-career designers with senior mentors through two rotations. Built for new graduates, career switchers, and those early in their design careers.

Learn more about our Design Apprentice Program

• Terms of Service
• Privacy Policy

Back

Applied ML Engineering - GenAI, AI Agent

• Remote - Americas
• Engineering & Data

Apply Now

About the role

Join Shopify's innovative team as we develop an AI Personal Shopper to transform the online shopping experience. Leveraging cutting-edge AI, including Large Language Models (LLM) and advanced machine learning algorithms, you'll play a pivotal role in delivering personalized recommendations and insightful suggestions tailored to individual preferences. Our goal is to redefine e-commerce by creating a concierge service that enhances how customers interact with Shop and Storefronts. As a Machine Learning Engineering (MLE) lead or individual contributor, you'll be at the forefront of implementing AI systems at scale, directly empowering merchants and creating tangible solutions with real-world impact.

Key Responsibilities:

• Develop and deploy Generative AI, natural language processing, and machine learning models.
• Design and produce scalable AI/ML system architectures.
• Implement data pipelines for fine-tuning LLMs.
• Solve high-impact data problems, delivering business impact through data and machine learning products.
• Prioritize and communicate effectively with both technical and non-technical audiences.

Qualifications:

• Mastery in building data products using generative AI, RLHF, and fine-tuning LLMs.
• End-to-end experience in training, evaluating, testing, and deploying machine learning products at scale.
• Experience in building data pipelines and driving ETL design decisions using disparate data sources.
• Proficiency in Python, shell scripting, streaming and batch data pipelines, vector databases, DBT, BigQuery, BigTable, or equivalent, and orchestration tools.
• Experience with running machine learning in parallel environments (e.g., distributed clusters, GPU optimization).

*At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you’re ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a pair programming interview, using your own IDE.

This role may require on-call work. Ready to redefine e-commerce through AI innovation? Join the team that’s making commerce better for everyone.*

About Shopify

Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries.

This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

About you

Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

Before you apply, consider if you can:

• Care deeply about what you do and about making commerce better for everyone
• Excel by seeking professional and personal hypergrowth
• Keep up with an unrelenting pace (the week, not the quarter)
• Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
• Bring critical thought and opinion
• Put AI agents and tools to work on the tasks they're built for, and focus on the work only humans can do
• Embrace differences and disagreement to get shit done and move forward
• Work digital-first for your daily work

We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

Shopifyhttps://www.shopify.com

We hire people, not resumes. If you think you’re right for the role, apply now.

Apply Now

Work with us in your early career

Dev Degree Program

A 3-4-year program that allows people to earn a computer science degree while working. It’s designed for those looking to break into computer science or transition into the tech field.

Learn more about our Dev Degree Program

Internship Program

Shopify offers 4-month paid Engineering internships that are open to students, recent graduates, and those early in their careers.

Learn more about our Internship Program

APM Program

Shopify’s 12-month Apprentice Product Manager program is designed to help you gain the skills needed to start a product management career.

Learn more about our APM Program

Design Apprentice Program

Shopify's 12-month Design Apprentice Program pairs early-career designers with senior mentors through two rotations. Built for new graduates, career switchers, and those early in their design careers.

Learn more about our Design Apprentice Program

• Terms of Service
• Privacy Policy

Welcome to Shopify's engine room of innovation. As an Applied Machine Learning Engineering Manager, you will lead teams in crafting groundbreaking ML solutions that redefine connections between millions of merchants and buyers. Your role is to guide ML engineers in making strategic decisions that advance LLMs, agents, and address large-scale real world problems. With a focus on developing extensive models, enhancing search, refining recommendations, and personalizing experiences, your leadership will transform what's currently considered possible in the space of AI-driven commerce.

Key Responsibilities:

• Lead teams to design, refine, and deploy ML models that revolutionize commerce solutions.
• Spearhead initiatives integrating LLMs, agents, and multimodal models into Shopify’s ecosystem.
• Apply machine learning techniques to real world problems by enhancing optimized search and personalized recommendations.
• Cultivate a collaborative culture emphasizing technical excellence, learning, and innovation.

Qualifications:

• Extensive experience managing teams to implement large-scale ML models.
• Proficiency in TensorFlow or PyTorch, and strong Python skills.
• Proven problem-solving skills in complex, real-world product environments.
• Excellent communication skills with a track record of thriving in dynamic settings.

Ready to lead on the bleeding edge of AI? Join the team that's making commerce better for everyone.

At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you're ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a live pair programming session, coming prepared with your own IDE.

This role may require on-call work.

Back

Data Engineers

• Remote - Americas
• Engineering & Data

Application

*Required

Name*

Email*

Location*

Start typing and select a location from the dropdown.

Resume

Linkedin Profile

Alternative Link

If you've contributed to the largest open-source projects, optimized systems to handle unprecedented traffic, or developed game-changing algorithms, we want to know about it. Link your highlights and skip the resume.

Message to hiring manager:

Do you have the right to work in your listed location?

Which track are you interested in pursuing with Shopify?*

Individual ContributorPeople Manager

How many years of professional experience do you have in data engineering, not including academic experience and internships?*

0-3 years3-5 years5-7 years7-10 years10+ years

Experience with streaming data pipelines is required for this role. How many years of hands-on experience do you have building streaming or real-time data pipelines?*

Less than 1 year1 -2 years3- 5 years5+ years

As a Data Engineer, how would you describe your approach to mentorship?*

I'm still learning the ropes, so I tend to focus more on absorbing knowledge myself.I'm comfortable with my skills, but I still rely on more experienced engineers for complex problems.I mentor others and promote a culture of learning and growth within the organization.I mentor others, and play a role in increasing the technical competencies of my craft at the org level.

As a Data Engineer, how would you describe your experience on projects?*

I haven't led a project yet, but I've contributed to the tasks assigned to me and learned from the process.I've led a small project or a part of a larger project from start to finish.I've led multiple projects across teams and stakeholders, and was accountable for the project's success.I've led high-stakes projects spanning multiple stakeholders, disciplines, and technical complexities.

Describe your experience with data architecture and modeling concepts in your current or previous roles.*

I have contributed to building data models within a data warehouse, with a clear and defined scope.I've contributed to and led data modeling and design within a data warehouse, with an ambiguous scope.I've led data modeling and design for complex concepts within a data warehouse frameworkI regularly lead the design and modeling of complex, large-scale data warehouse systems.

As a Data Engineer, what area would you prioritize for your main focus, aligning with your expertise and interest?*

Bringing data onto or from a data platform (ETL/ELT), managing API interactions, and monitoring pipelines.Building tooling and frameworks crucial for data processing and exposure, and creating custom software.Data modeling, incorporating intricate business logic, and constructing a robust data warehouse.Streaming data pipelines, delivering real-time data transport solutionsData science and analytics, constructing data marts for in-depth data analysis, and serving the business.

Please confirm you've read and agree with our candidate NDA*

NDA here

Please confirm you've read our applicant privacy notice*

Privacy notice here

Share an AI-assisted or vibe-coded work sample (optional)

Want to stand out? Optionally share something you’ve made with an AI tool — e.g. a “sell yourself” build, a short project, or a creative take on your background — that shows why we should consider you and how you work with AI. We’re interested in your taste, effort, and the quality of what you produce. Submit a link, paste your code or output, or attach a file. Not required to apply.

Work with us in your early career

Dev Degree Program

A 3-4-year program that allows people to earn a computer science degree while working. It’s designed for those looking to break into computer science or transition into the tech field.

Learn more about our Dev Degree Program

Internship Program

Shopify offers 4-month paid Engineering internships that are open to students, recent graduates, and those early in their careers.

Learn more about our Internship Program

APM Program

Shopify’s 12-month Apprentice Product Manager program is designed to help you gain the skills needed to start a product management career.

Learn more about our APM Program

Design Apprentice Program

Shopify's 12-month Design Apprentice Program pairs early-career designers with senior mentors through two rotations. Built for new graduates, career switchers, and those early in their design careers.

Learn more about our Design Apprentice Program

• Terms of Service
• Privacy Policy