Google

Software Engineer III, App Ads Horizontal Modeling

Google • $147K — $210K *
Mountain View, CA 94040In-Person
Consumer Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 2 years of programming experience in Python or C.
  • 1 year of experience building and deploying recommendation systems in production.
  • 1 year of end-to-end machine learning experience, including model deployment and evaluation.
  • Preferred: Master's degree or PhD in Computer Science or related field.

Responsibilities

  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews.
  • Contribute to and adapt documentation or educational content based on updates and feedback.
  • Triage and debug product or system issues by analyzing their sources and impacts.
  • Design and optimize deep learning models to predict user interactions with ad formats.

Benefits

  • Flexible work hours and remote work options.
  • Opportunities for professional development and training.
  • Access to cutting-edge technology and tools.
  • Collaborative and inclusive work environment.
Full Job Description
info_outline
X In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience programming in Python or C .
  • 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
  • 1 year of experience with end-to-end machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical field.
  • 2 years of experience with data structures and algorithms.
  • Experience in conducting quantitative data analysis, statistical modeling, interpreting complex datasets, or mathematical optimization.
  • Experience developing accessible technologies.


Responsibilities
  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Design and optimize deep learning based ML models to predict users' interaction with different ad formats across Google's various ad delivery channels.

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Enterprise Technology
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ
GOOGL
* Ladders Estimates

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