Applied Machine Learning Engineers

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 $221k
$150k $290k
below market most similar roles pay here above market

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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 17 open roles on FindRole.

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TL;DR · Applied Machine Learning Engineers

Applied Machine Learning Engineers join the team to tackle complex technical problems in commerce by leveraging vast datasets and cutting-edge machine learning technologies. In this role, you will develop ways to redefine how merchants connect with buyers by building and deploying models that serve millions of users. Your day-to-day responsibilities include analyzing large-scale datasets, designing agents, and integrating ML solutions into core products to enhance search and discovery. You will utilize specific technologies including multimodal LLMs, embeddings, LLM posttraining, reinforcement learning, and model quantization. Proficiency in Python and ML frameworks like TensorFlow or PyTorch is required to solve real-world product problems. You will work with petabyte-scale data to build systems that improve merchant and buyer interactions within the global e-commerce domain.

What you'll do

  • Analyze and interpret large-scale datasets to drive model development and optimization.
  • Design, build, and deploy agents and multimodal LLMs to improve merchant and buyer interactions.
  • Build and deploy machine learning models that serve millions of users at a global scale.
  • Utilize LLM posttraining, reinforcement learning, and model quantization to redefine e-commerce capabilities.
  • Integrate machine learning solutions into Shopify's core products.
  • Document and share technical insights and best practices across various teams.

What we're looking for

  • Extensive experience in building and deploying machine learning models at scale.
  • Proficiency in using ML frameworks such as TensorFlow or PyTorch.
  • Proficiency in programming languages like Python.
  • Strong analytical and problem-solving skills for solving real-world product problems.
  • Excellent communication skills and the ability to work in a fast-paced, collaborative environment.
  • Ability to complete a live pair programming session during the interview process.

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