Applied Machine Learning Engineers

Shopify

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On-site
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Posted
133 days ago
Freshness
Confirmed live yesterday

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Similar $216k
$146k most similar roles pay here $292k

This listing doesn't post a salary. Most similar roles pay $177,850–$254,750.

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 19 open roles on FindRole.

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At a glance

TL;DR · Applied Machine Learning Engineers

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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 analyze and interpret large-scale data to develop, build, and deploy models that serve millions of users. Your daily work involves designing agents and multimodal LLMs to enhance search, discovery, and merchant-buyer interactions. You will utilize specific techniques such as LLM posttraining, reinforcement learning, and model quantization while working with petabyte-scale data. The required technical toolkit includes proficiency in Python and machine learning frameworks like TensorFlow or PyTorch. By collaborating with cross-functional teams, you will integrate these solutions into core products to solve real-world problems in the e-commerce space. You must also document technical insights and stay current on advancements in various machine learning technologies and frameworks.

Skills

Machine Learning LLMs Python TensorFlow PyTorch Reinforcement Learning Model Quantization Embeddings Multimodal LLMs posttraining

What you'll do

  • Analyze and interpret petabyte-scale datasets to drive model development and optimization.
  • Design, build, and deploy agents and multimodal LLMs for merchant and buyer interactions.
  • Implement state-of-the-art ML methods including LLM posttraining, reinforcement learning, and model quantization.
  • Deploy machine learning models at scale to serve millions of users globally.
  • Integrate machine learning solutions into core commerce products.
  • Document and share technical insights and best practices across the organization.

What we're looking for

  • Extensive experience in building and deploying machine learning models at scale.
  • Proficiency in Python programming language.
  • Proficiency in using machine learning frameworks such as TensorFlow or PyTorch.
  • Ability to design, build, and deploy agents and multimodal LLMs.
  • Experience with advanced ML techniques including LLM posttraining, reinforcement learning, and model quantization.
  • Strong analytical and problem-solving skills for real-world product problems.
  • Excellent communication skills for collaborative environments.

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