Applied Machine Learning Engineering Managers

Shopify

Confirmed live 2 days ago High trust

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On-site
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Posted
134 days ago
Freshness
Confirmed live 2 days ago

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How this pay compares to similar roles

Similar $226k
$172k most similar roles pay here $285k

This listing doesn't post a salary. Most similar roles pay $192,050–$259,212.

Based on 240 similar postings.

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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 19 open roles on FindRole.

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At a glance

TL;DR · Applied Machine Learning Engineering Managers

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 complex 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. To succeed in this role, you must possess extensive experience managing teams to implement large-scale machine learning models. You should be proficient in Python and familiar with frameworks like TensorFlow or PyTorch. The position requires strong problem-solving skills and excellent communication abilities to navigate dynamic settings while fostering a collaborative culture of technical excellence and innovation to solve practical challenges in the field of AI-driven commerce.

What you'll do

  • Lead teams in designing, refining, and deploying machine learning models for commerce solutions.
  • Spearhead the integration of LLMs, agents, and multimodal models into the Shopify ecosystem.
  • Apply machine learning techniques to solve large-scale, real-world problems.
  • Improve search functionality through advanced machine learning optimizations.
  • Develop personalized recommendation systems to enhance user experiences.
  • Guide engineers in making strategic decisions regarding AI technology and implementation.

What we're looking for

  • Extensive experience managing teams to implement large-scale machine learning models.
  • Proficiency in Python programming language.
  • Proficiency in either TensorFlow or PyTorch frameworks.
  • Proven problem-solving skills within complex, real-world product environments.
  • Excellent communication skills and the ability to thrive in dynamic settings.

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