Applied Machine Learning Engineering Managers

Shopify

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Work type
On-site
Location
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Posted
44 days ago

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Similar $223k
$166k most similar roles pay here $273k

This listing doesn't post a salary. Most similar roles pay $195,000–$251,750.

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 28 open roles on FindRole.

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TL;DR · Applied Machine Learning Engineering Managers

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As an Applied Machine Learning Engineering Manager at Shopify, you will guide teams in developing innovative ML solutions that enhance connections between millions of merchants and buyers. Your daily responsibilities include leading the design and deployment of advanced models for search optimization and personalized recommendations, integrating large language models (LLMs) and agents into Shopify’s ecosystem, and fostering a culture of technical excellence and innovation. This role requires extensive experience managing teams to implement large-scale ML projects, proficiency in TensorFlow or PyTorch, strong Python skills, and the ability to solve complex real-world problems effectively.

Skills

Python TensorFlow PyTorch CI/CD Kubernetes AWS Docker PostgreSQL MongoDB Redis Scikit-learn Pandas NumPy Jupyter Git GitHub Swagger RESTful APIs GraphQL

What you'll do

  • Lead teams in designing and deploying ML models that transform commerce solutions.
  • Spearhead integration of LLMs, agents, and multimodal models into Shopify’s ecosystem.
  • Enhance search optimization and personalize recommendations using advanced ML techniques.
  • Guide strategic decisions to advance large-scale real-world AI applications.
  • Cultivate a culture focused on technical excellence, learning, and innovation in ML.

What we're looking for

  • Extensive experience managing teams implementing large-scale ML models.
  • Proficiency in TensorFlow or PyTorch and strong Python skills.
  • Proven ability to solve complex real-world product problems using ML techniques.
  • Strong communication skills and success in dynamic, fast-paced environments.
  • Leadership in integrating LLMs, agents, and multimodal models into AI ecosystems.

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