Software Engineer III, Generative AI

3 Months ago • 2-4 Years • Research Development • $141,000 PA - $202,000 PA

Job Summary

Job Description

Google seeks a Software Engineer III specializing in Generative AI to design, develop, test, deploy, maintain, and enhance software solutions. Responsibilities include managing project priorities, leading design reviews, reviewing code, contributing to documentation, and debugging system issues. This role requires experience with ML algorithms (TensorFlow), AI, Deep Learning, NLP, and Generative AI (LLMs, Multi-Modal, Large Vision Models). The ideal candidate will have experience with Computer Vision, ML infrastructure, and working in a complex organization. The role involves working on projects critical to Google's needs with opportunities for growth and evolution.
Must have:
  • 2+ years software development experience
  • 1+ year experience with Computer Vision
  • 1+ year experience with ML infrastructure
  • Experience with ML algorithms & tools (TensorFlow)
  • Generative AI experience (LLMs, etc.)
  • Code writing, testing, and debugging skills
Good to have:
  • Master's/PhD in Computer Science
  • 3+ years experience in complex organizations
  • Technical leadership experience
  • Experience developing accessible technologies
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

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 Computer Vision (image classification and processing, object detection, visual search), video generation, or signal processing.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • Experience with Machine Learning (ML) algorithms and tools (e.g., TensorFlow), Artificial Intelligence (AI), Deep Learning, Natural Language Processing (NLP) or other ML disciplines.
  • Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models).

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.

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.

In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Write and test product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (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.

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