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Build and maintain product code for Google Cloud's compute infrastructure, implementing GenAI solutions and optimizing ML model deployment and performance. You'll collaborate on design and code reviews, debug system issues, and contribute to documentation while working with Python or C++ and ML infrastructure tools. Requires a bachelor's degree, two years of programming experience, one year with ML infrastructure, and knowledge of large language models and generative AI concepts.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • 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 GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience programming in Python or C++.
  • 1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
  • Experience with core GenAI concepts (Large Language Models, Multi-Modal, Large Vision Models).
  • Experience with text, image, video, or audio generation.

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.
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience programming in Python or C++.
  • 1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
  • Experience with core GenAI concepts (Large Language Models, Multi-Modal, Large Vision Models).
  • Experience with text, image, video, or audio generation.
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  • Role Software Engineer III, AI/ML GenAI, Google Cloud Compute Infrastructure
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

189K – 287K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 51 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
3 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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