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Applied ML Engineering - GenAI, AI Agent
- 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 deploy generative AI, NLP and machine learning models
Design and produce scalable AI/ML system architectures
Implement data pipelines for fine-tuning LLMs
Solve high-impact data problems through data and ML products
From the employer’s posting
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.
What you’ll bring
All qualificationsCore experience
- 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).
Qualification wording
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).
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
- BigQuery
- dbt
Where the posting names them
- 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).
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
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.
Source details
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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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