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Machine Learning Engineer - Ads
- 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 postingDevelop and optimize machine learning models for ad targeting and personalization
Analyze ad performance data to find optimization opportunities
Integrate ML solutions into the ad platform with advertising teams
Research and implement algorithms to improve ad relevance and effectiveness
Document technical insights and share best practices across engineering teams
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- Extensive experience building and deploying ML models for advertising at scale
- Strong proficiency in TensorFlow or PyTorch and expert-level Python
- Analytical skills for processing large-scale datasets
- Familiarity with ad platforms, A/B testing and data-driven decision making
- Experience with statistical methods and performance optimization for ML systems
Qualification wording
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
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
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 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
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
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Americas
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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