Google

Software Engineer, Personalization and Recommendations AI

Google • $147K — $211K *
Mountain View, CA 94040In-Person
Information Technology
Less than 5 years of experience
Yesterday
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Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent experience in relevant field.
  • 2 years of software development experience in programming languages, or 1 year with an advanced degree.
  • 1 year of experience with machine learning infrastructure including deployment and optimization.
  • 1 year of hands-on experience in machine learning, generative AI, or statistical modeling.

Responsibilities

  • Write development code for systems or products.
  • Collaborate with peers through design and code reviews to uphold best practices.
  • Contribute to and adapt documentation and educational content based on user feedback.
  • Triage, debug, and resolve product or system issues by analyzing their sources and impacts.
  • Implement solutions in specialized ML areas and contribute to model optimization.

Benefits

  • Flexible working hours and remote work options.
  • Opportunities for professional development and further education.
  • Access to wellness programs and health benefits.
  • Collaborative and innovative work environment.
  • Participation in company-sponsored events and team-building activities.
Full Job Description
Minimum 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 ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 1 year of experience in machine learning, generative AI, data mining or statistical modeling.

Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience in User modeling, Recommendation Systems, Information Retrieve, NLP or related areas.


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.
  • Implement solutions in one or more specialized ML areas, 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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