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Machine Learning Engineer - Ads

Shopify
RemoteRemote
Full Time
Posted Yesterday
A/B testing*Data-driven decision making*Machine learning frameworks*Performance optimization*Python*PyTorch*SQL*Statistical methods*TensorFlow*

Role Overview

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.

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

Requirements

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
  • Shopifyhttps://www.shopify.com
  • About the discipline

Engineering. It’s our DNA.

  • Engineering isn't a department at Shopify.
  • It's our DNA.
  • The engineers who thrive here care about the code, the system, and the merchants relying on both.
  • They want hard problems and uncomfortable growth.
  • They find solutions without waiting for permission.
  • They ship weekly.
  • They want commerce to work better for everyone.
  • So does our founder, Tobi, who still codes and still shapes where this thing is going.
  • They're open source nerds.
  • They pair program because two brains write better code than one.
  • New tools, new models, new approaches.
  • They experiment constantly.
  • Most of what's standard here started as someone hacking on something.
  • They use AI like a keyboard, reflexively and everywhere, to clear the mundane and make room for thinking.
  • And they work in the open.
  • The fastest way to learn here is to watch someone better than you do the work.
  • If that sounds like you, come build with us.

Infrastructure engineering

  • Infrastructure Engineers at Shopify build and maintain the systems that handle millions of requests per second and billions of dollars in transactions.
  • At that scale, performance gains matter and weak assumptions surface quickly.
  • Your systems power the experience for millions of entrepreneurs and buyers every minute of every day, including peak events like Black Friday.
  • Engineers at Shopify spend the majority of their time actually writing code to build and improve infrastructure.
  • You’ll solve problems that don’t exist anywhere else, with challenges that push what’s possible.
  • If that lights you up, come build with us.
  • Growth and rewards

Benefits & Perks

Mastery-matched compensation.

~Mastery

  • At Shopify, getting better at your craft and increasing your impact is how you grow.
  • Twice a year, we assess both in our ~Mastery cycle, Shopify’s performance review.
  • Achieving higher ~Mastery is a promotion, and when you earn a promotion your total rewards grow with it.
  • Crafter and manager are equal paths, so you can pursue excellence in the craft you’re best at.

Total Rewards

  • With Flex Comp, your Rewards Wallet gives you agency over your compensation mix.
  • Adjust your mix of cash, restricted share units, and stock options (including programs like Long-Term Equity)* to where it makes sense for you, and mix it up anytime as life and priorities change.
  • Buying a house?
  • Want more skin in the game?
  • Just experimenting?
  • It’s your call.
  • * Flex Comp program offerings vary based on location, role, and employment type.
  • Full details are set out in our Terms & Conditions and related plan documents.
  • Built for real life

Room for the rest of your life.

Flexible work, remote by design

  • A flexible vacation policy means most Shopifolk can take the vacation days they feel they need to recharge.
  • If a change of everyday scenery is more your jam, Destination 90 means you can work from (almost) anywhere in the world for 90 days of the year.

Your setup

  • Your battlestation is your home base.
  • Request the desk, chair, and AV gear you need to get shit done.
  • You need ‘em, we’ve got ‘em.
  • Our health and welfare benefits may include health, dental, vision, disability, and life insurance depending on your country.
  • If you’re in a country without a package, you'll receive a monthly allowance.
  • We also offer mental health support for you and your dependents, including immediate and confidential services like counseling and coaching sessions.

Family support

  • We offer fertility benefits globally, along with paid parental leave to welcome a new family member.
  • Applying to work here

Show us your craft.

  • Read the candidate guide
  • The Life Story is how we understand the themes of your career journey so far, human to human.
  • What you’ve learned, and how you made a difference.
  • Show us the trophies and the bruises: the problems you’ve solved, the challenges you encountered, the decisions you made, and the lessons you learned along the way.
  • We’re looking for world-class crafters.
  • Crafters obsessed with pursuing excellence in their field.
  • Our craft assessment looks at your personal journey toward mastery, and your potential to go broader and deeper in novel ways.
  • You’ll start with an online assessment, followed by a craft assessment.
  • Show us what you do best, and how you do it.
  • Shopify’s bar is high, and code wins arguments around here.
  • Let your skills do the talking.
  • Building on your craft assessment, these interviews dive deeper into your experience and technical aptitude.
  • Depending on the role, this may include technical deep dives focusing on projects you've previously worked on, collaborating in a design critique, exploring a dataset using SQL, or taking the lead on solving a problem with your interviewer as your co-pilot.
  • Pssst.
  • Extraordinary technical work speaks for itself.Skip the resume.
  • Show us what you’ve built instead.
  • Take the /alt path

Job Details

LocationRemote
Job TypeFull Time
Experience LevelMid Level
EducationBachelor's Degree
PostedNovember 2, 2026 at 08:13 PM

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Machine Learning Engineer - Ads at Shopify | TechiHub Jobs | TechiHub