Machine Learning Applied Scientists
Shopify Inc.
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 ResponsibilitiesDesign 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.
QualificationsProven 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.
About the disciplineEngineering. 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 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 rewardsMastery-matched compensation.~MasteryAt 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 RewardsWith 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 lifeRoom for the rest of your life.Flexible work, remote by designA 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 setupYour 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 supportWe offer fertility benefits globally, along with paid parental leave to welcome a new family member.
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.
#J-18808-Ljbffr
Key ResponsibilitiesDesign 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.
QualificationsProven 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.
About the disciplineEngineering. 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 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 rewardsMastery-matched compensation.~MasteryAt 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 RewardsWith 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 lifeRoom for the rest of your life.Flexible work, remote by designA 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 setupYour 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 supportWe offer fertility benefits globally, along with paid parental leave to welcome a new family member.
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.
#J-18808-Ljbffr
Vacancy posted 2 hours ago
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