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Applied Machine Learning Engineers
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting
What you’ll work on
Full postingAnalyze and interpret large-scale datasets to drive model development
Design, build and deploy agents and multimodal LLMs for merchants and buyers
Integrate ML solutions into Shopify's core products with cross-functional teams
Document and share technical insights and best practices across teams
From the employer’s posting
Analyze and interpret large-scale datasets to drive model development and optimization.
Design, build, and deploy agents and multimodal LLMs that improve merchant and buyer interactions.
Collaborate with cross-functional teams to integrate ML solutions into Shopify's core products.
Document and share technical insights and best practices across teams.
What you’ll bring
All qualificationsCore experience
- Extensive experience building and deploying machine learning models at scale
- Proficiency in an ML framework such as TensorFlow or PyTorch
- Proficiency in Python
- Strong analytical and problem-solving skills for real-world product problems
- Excellent communication skills and comfort in a fast-paced, collaborative setting
Qualification wording
Extensive experience in building and deploying machine learning models at scale.
Proficiency in using ML framework (e.g., TensorFlow, PyTorch)
programming languages like Python
Strong analytical and problem-solving skills in solving real-world product problems.
Excellent communication skills and the ability to work in a fast-paced, collaborative environment.
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Mar 16, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Shopify is hiring
20 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- PyTorch
- TensorFlow
Where the posting names them
- Extensive experience in building and deploying machine learning models at scale. - Proficiency in using ML framework (e.g., TensorFlow, PyTorch) and programming languages like Python. - Strong analytical and problem-solving skills in solving real-world product problems.
Your next step
Complete your application on www.shopify.com. The employer’s form will show what is required.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
At Shopify, our Applied Machine Learning Engineers tackle the most challenging technical problems in commerce. By leveraging vast datasets and cutting-edge machine learning technologies, like multimodal LLMs, embeddings, etc., you will develop ways that redefine how merchants connect with buyers. Your work will empower merchants with advanced tools and systems that enhance search, discovery, and agents at a global scale.
As an Applied Machine Learning Engineer, you will work with petabyte-scale data and utilize state-of-the-art ML methods to build and deploy models that serve millions of users. You'll be at the forefront of AI innovation, using technologies including LLM posttraining, reinforcement learning, and model quantization, to redefine what’s possible in e-commerce.
Key Responsibilities:
Analyze and interpret large-scale datasets to drive model development and optimization.
Collaborate with cross-functional teams to integrate ML solutions into Shopify's core products.
Design, build, and deploy agents and multimodal LLMs that improve merchant and buyer interactions.
Stay current with the latest advancements in machine learning technologies and frameworks.
Document and share technical insights and best practices across teams.
Qualifications:
Extensive experience in building and deploying machine learning models at scale.
Proficiency in using ML framework (e.g., TensorFlow, PyTorch) and programming languages like Python.
Strong analytical and problem-solving skills in solving real-world product problems.
Excellent communication skills and the ability to work in a fast-paced, collaborative environment.
Ready to deploy your next breakthrough model? 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
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Americas
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- Work authorization
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