Applied Machine Learning Engineers

Shopify

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Work type
On-site
Location
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Posted
44 days ago

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Similar $217k
$161k most similar roles pay here $273k

This listing doesn't post a salary. Most similar roles pay $183,951–$249,750.

Based on 239 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 Engineers

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As an Applied Machine Learning Engineer at Shopify, you will join a dynamic team dedicated to advancing AI technologies within e-commerce. Your role involves analyzing petabyte-scale datasets and deploying sophisticated machine learning models using cutting-edge techniques such as multimodal LLMs and reinforcement learning. Day-to-day responsibilities include collaborating with cross-functional teams to integrate ML solutions into core products, designing advanced agents that enhance merchant and buyer interactions, and staying abreast of the latest advancements in AI frameworks like TensorFlow and PyTorch. This position requires extensive experience in large-scale model deployment, strong analytical skills, and proficiency in Python, alongside excellent communication abilities to thrive in a fast-paced environment.

Skills

Python TensorFlow PyTorch LLMs Reinforcement Learning Model Quantization Multimodal Models Docker Kubernetes CI/CD PostgreSQL AWS Petabyte-Scale Data Embeddings

What you'll do

  • Analyze large-scale datasets to drive development and optimization of machine learning models.
  • Design and build multimodal LLMs and agents to enhance merchant and buyer interactions globally.
  • Deploy ML solutions into Shopify's core products, integrating with cross-functional teams.
  • Stay updated on advancements in AI technologies like reinforcement learning and model quantization.
  • Document and share technical insights and best practices within the engineering community.

What we're looking for

  • Extensive experience building and deploying machine learning models at scale.
  • Proficiency in ML frameworks like TensorFlow and PyTorch, and programming languages such as Python.
  • Strong analytical skills for solving real-world product problems with data.
  • Experience integrating ML solutions into core products across cross-functional teams.
  • Expertise in designing and deploying agents and multimodal LLMs to enhance user interactions.
  • Stay current with advancements in machine learning technologies and frameworks.

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