Software Engineer III, Generative AI, MSCA

2 Days ago • 2-4 Years • Artificial Intelligence • $141,000 PA - $202,000 PA

Job Summary

Job Description

Google is seeking a Software Engineer III specializing in Generative AI within its MSCA organization. This role involves developing and implementing GenAI solutions, leveraging ML infrastructure, and optimizing data performance. Responsibilities include writing product/system code, collaborating on design and code reviews, contributing to documentation, troubleshooting issues, and enhancing GenAI solutions. The ideal candidate will have experience with TypeScript, React, frontend web technologies, and core GenAI concepts (LLMs, multi-modal models). The position requires strong software engineering skills, collaboration abilities, and a commitment to delivering high-quality, scalable solutions.
Must have:
  • 2+ years software development experience
  • 2+ years experience with data structures/algorithms
  • 2+ years experience with TypeScript, React
  • 1+ year experience with core GenAI concepts
  • Implement GenAI solutions and optimize performance
Good to have:
  • Master's/PhD in Computer Science
  • Experience with accessible technologies
  • Open-source project experience
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.
  • 2 years of experience with data structures or algorithms.
  • 2 years of experience in TypeScript, React and Frontend web technologies.
  • 1 year of experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience developing accessible technologies.
  • Experience creating, managing, and writing code for open source 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.

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 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.

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