Machine Learning Engineer - Ads

Shopify

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Posted
45 days ago

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Similar $225k
$171k most similar roles pay here $275k

This listing doesn't post a salary. Most similar roles pay $197,925–$251,775.

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 · Machine Learning Engineer - Ads

As a Machine Learning Engineer focused on Ads at our dynamic tech company, you will join a dedicated team of experts to develop sophisticated machine learning models that enhance ad targeting and personalization. Your daily tasks include optimizing these models to maximize the efficiency of ad spend while ensuring customer satisfaction. You will work closely with advertising teams to integrate your solutions into our platform, leveraging TensorFlow or PyTorch alongside Python for model development. Additionally, you will conduct in-depth data analysis to identify optimization opportunities and share technical insights across engineering teams. This role requires extensive experience in building scalable ML systems for ad platforms, a strong background in statistical methods, and proficiency in A/B testing methodologies.

What you'll do

  • Develop and optimize advanced machine learning models for ad targeting.
  • Analyze ad performance data to maximize efficiency of ad spend.
  • Research and implement innovative algorithms to enhance ad relevance.
  • Integrate ML solutions seamlessly into the ad platform.
  • Document technical insights and share best practices with teams.

What we're looking for

  • Extensive experience building and deploying machine learning models for advertising at scale.
  • Proficiency in TensorFlow or PyTorch and expert-level Python programming skills.
  • Strong analytical skills for processing large-scale datasets and extracting insights.
  • Demonstrated problem-solving abilities and innovative thinking in ad technology.
  • Familiarity with ad platforms, A/B testing methodologies, and data-driven decision making.

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