Time since we first saw it
Day 6
Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
Machine Learning Applied Scientists
Reads like a ML Engineer role: putting models into production.
- 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 postingDesign and implement NLP and LLM models for business problems and customer experience
Integrate AI solutions into products with cross-functional teams
Run research and experiments on new AI methods and technologies
Optimize models for scalability, efficiency and performance in production
Analyze complex datasets to inform product development and strategy
From the employer’s posting
Design 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.
What you’ll bring
All qualificationsCore experience
- Proven experience developing and deploying ML models, especially NLP and LLMs
- Proficiency in Python and ML frameworks such as TensorFlow or PyTorch
- Strong understanding of AI, model optimization and deployment strategies
- Strong analytical skills and clear communication of complex ideas
Qualification wording
Proven 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.
Education & alternatives
- 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. 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.
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
- Proven 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.
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
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 Responsibilities:
Design 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.
Qualifications:
Proven 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.
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 the future of AI with innovative solutions? Join the team that’s making commerce better for everyone.
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
No clear work-authorization passage found. Eligibility is unconfirmed.