Senior Staff Software Engineer, Document/Cloud AI

2 Months ago • 8-15 Years • Artificial Intelligence

Job Summary

Job Description

This Senior Staff Software Engineer role focuses on Document/Cloud AI at Google. Responsibilities include providing technical leadership on high-impact projects, coaching engineering teams, aligning teams on goals, managing project deliverables, and designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions. The Document AI team tackles document parsing and enrichment, leveraging LLMs and traditional techniques to improve document understanding for applications like search, chat, analytics, and document processing. The ideal candidate has extensive experience in software development, machine learning, AI, NLP, and software architecture. They will also have experience working in a large, complex organization.
Must have:
  • 8+ years software development experience
  • 7+ years ML/AI/NLP experience
  • 5+ years design & architecture experience
  • Data structures & algorithms expertise
  • Experience with TensorFlow
  • Technical leadership skills
Good to have:
  • Master's or PhD in related field
  • Experience in a complex organization
  • Cross-functional project experience

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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