Ads Recommendations Engineer III — ML & Ranking

Google Inc.

Mountain View (CA)

On-site

USD 147,000 - 210,000

Full time

14 days+

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Job summary

Google is seeking a Software Engineer III for Discover Ads Recommendations in Mountain View, CA. You will write production code and build end-to-end ML systems on large-scale data, focusing on ads ranking and personalization to improve prediction quality.

Applicants should have a Bachelor's degree or equivalent, plus 2 years in software development or 1 year with an advanced degree, and 1 year in end-to-end ML including model deployment, evaluation, and data processing.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with end-to-end machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.

Responsibilities

  • Write product or system development code.
  • Build end to end machine learning systems on large scale data.
  • Research novel ideas on model architectures and analysis, and then build, experiment and deploy them to improve prediction qualities.
  • Work with latest ML techniques, tools like TensorFlow, Adbrain, TPU, and Recommendation systems.

Skills

Software development
Machine learning
Recommendation systems

Education

Bachelor's degree

Tools

TensorFlow
TPU
Adbrain

Job description

Google is seeking a Software Engineer III for Discover Ads Recommendations in Mountain View, CA. You will write production code and build end-to-end ML systems on large-scale data, focusing on ads ranking and personalization to improve prediction quality.

Applicants should have a Bachelor's degree or equivalent, plus 2 years in software development or 1 year with an advanced degree, and 1 year in end-to-end ML including model deployment, evaluation, and data processing.

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