Google

Software Engineer III, AI/ML Recommendations, Rankings, Predictions, Google Ads

Google • $147K — $211K *
Mountain View, CA 94040In-Person
Information 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 in building and deploying recommendation systems models in production.
  • 1 year of experience with ML infrastructure including deployment and optimization.

Responsibilities

  • Write product or system development code.
  • Collaborate with peers through design and code reviews to enforce best practices.
  • Contribute and update documentation and educational content based on user feedback.
  • Triage system issues and resolve them through detailed analysis.
  • Build, deploy, and optimize recommendation systems using ML infrastructure.

Benefits

  • Flexible work schedule.
  • Opportunities for professional development.
  • Access to wellness programs.
  • Collaboration with industry experts.
Full Job Description
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 ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • 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.
  • Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.

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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