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Day 6
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Reads like a Data Leadership role: running a data team.
Work setup in the employer’s posting: RemoteFrom the employer’s posting
Employment type in the employer’s posting: FullTimeFrom the employer’s posting
Lead teams to design, refine, and deploy ML models for commerce
Integrate LLMs, agents, and multimodal models into Shopify's ecosystem
Apply ML to improve search and personalized recommendations
Build a collaborative culture focused on technical excellence and learning
Lead teams to design, refine, and deploy ML models that revolutionize commerce solutions.
Spearhead initiatives integrating LLMs, agents, and multimodal models into Shopify’s ecosystem.
Apply machine learning techniques to real world problems by enhancing optimized search and personalized recommendations.
Cultivate a collaborative culture emphasizing technical excellence, learning, and innovation.
Extensive experience managing teams to implement large-scale ML models.
Proficiency in TensorFlow or PyTorch
strong Python skills
Proven problem-solving skills in complex, real-world product environments.
Excellent communication skills with a track record of thriving in dynamic settings.
Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 6
Early. Similar jobs usually come down between day 7 and day 53.
From 7,804 similar postings that came down. Coming down is not always a hire.
20 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Extensive experience managing teams to implement large-scale ML models. - Proficiency in TensorFlow or PyTorch, and strong Python skills. - Proven problem-solving skills in complex, real-world product environments.
Complete your application on www.shopify.com. The employer’s form will show what is required.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Welcome to Shopify's engine room of innovation. As an Applied Machine Learning Engineering Manager, you will lead teams in crafting groundbreaking ML solutions that redefine connections between millions of merchants and buyers. Your role is to guide ML engineers in making strategic decisions that advance LLMs, agents, and address large-scale real world problems. With a focus on developing extensive models, enhancing search, refining recommendations, and personalizing experiences, your leadership will transform what's currently considered possible in the space of AI-driven commerce.
Key Responsibilities:
Lead teams to design, refine, and deploy ML models that revolutionize commerce solutions.
Spearhead initiatives integrating LLMs, agents, and multimodal models into Shopify’s ecosystem.
Apply machine learning techniques to real world problems by enhancing optimized search and personalized recommendations.
Cultivate a collaborative culture emphasizing technical excellence, learning, and innovation.
Qualifications:
Extensive experience managing teams to implement large-scale ML models.
Proficiency in TensorFlow or PyTorch, and strong Python skills.
Proven problem-solving skills in complex, real-world product environments.
Excellent communication skills with a track record of thriving in dynamic settings.
Ready to lead on the bleeding edge of AI? 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, coming prepared with your own IDE.
This role may require on-call work.
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Americas
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