Applied Machine Learning Engineering Managers

Shopify

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On-site
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Posted
179 days ago
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Confirmed live today

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Similar $231k
$174k $289k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $195,150–$265,887.

Based on 240 similar postings.

Employer

About Shopify

Shopify is a leading global commerce platform that enables businesses of all sizes to start, grow, and manage their retail operations online and in-person. It provides tools for storefronts, payments, shipping, and marketing to millions of merchants worldwide.

Shopify currently has 17 open roles on FindRole.

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At a glance

TL;DR · Applied Machine Learning Engineering Managers

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As an Applied Machine Learning Engineering Manager, you will lead teams in crafting groundbreaking machine learning solutions that redefine connections between merchants and buyers. You will guide engineers in making strategic decisions to advance large language models, agents, and multimodal models while addressing large-scale real-world problems. Your daily responsibilities include designing, refining, and deploying models to enhance optimized search, refine recommendations, and personalize experiences within the commerce ecosystem. You must possess extensive experience managing teams to implement large-scale models and demonstrate proficiency in Python along with TensorFlow or PyTorch. The role requires strong problem-solving skills in complex product environments and excellent communication abilities. You will focus on technical excellence to solve specific business problems related to AI-driven commerce and personalized shopping experiences.

Skills

Machine Learning LLMs Python PyTorch TensorFlow Multimodal Models AI Agents

What you'll do

  • Lead teams to design, refine, and deploy machine learning models for commerce solutions.
  • Spearhead the integration of LLMs, agents, and multimodal models into the ecosystem.
  • Apply machine learning techniques to solve real-world problems.
  • Enhance optimized search functionality for the platform.
  • Refine and improve personalized recommendation systems.
  • Guide engineers in making strategic decisions to advance large-scale AI models.

What we're looking for

  • 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.
  • Ability to complete a live pair programming session during the interview process.

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