Senior Staff Software Engineer, Document/Cloud AI

3 Months ago • 8-15 Years • Artificial Intelligence

Job Summary

Job Description

The Senior Staff Software Engineer role within Google's Document/Cloud AI team focuses on solving document parsing and enrichment challenges. Leveraging LLMs and traditional techniques, the engineer will improve document understanding and enhance downstream applications (search, chat, analytics, processing). Responsibilities include providing technical leadership on high-impact projects, coaching engineers, managing project deliverables, and designing, developing, testing, deploying, and maintaining large-scale software solutions. The ideal candidate possesses extensive experience in software development, machine learning algorithms, AI, NLP, and software architecture.
Must have:
  • 8+ years software development experience
  • 7+ years experience with ML algorithms (TensorFlow)
  • 5+ years experience in software design and architecture
  • Experience with AI, Deep Learning, or NLP
  • Technical leadership and team coaching skills
Good to have:
  • Master's or PhD in relevant field
  • Experience in complex, matrixed organizations
  • Experience with Large Language Models (LLMs)

Job Details

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development, and with data structures/algorithms.
  • 7 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning or natural language
    processing.
  • 5 years of experience with design and architecture, and testing/launching software products.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The Document AI team solves the problems in document parsing and enrichment issues. Multi-modal and text Large Language Models (LLMs) are transforming the industry, and enabling unheard of accuracy across many applications. We focus on leveraging the best of traditional techniques and LLMs to understand the deep structure and content of documents, improvements to document understanding and uplift the entire product quality of many downstream applications including search, chat, analytics, and document processing.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Provide technical leadership on high-impact projects.
  • Influence and coach a distributed team of Engineers.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
  • Manage project priorities, deadlines, and deliverables.
  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

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