Software Developer III, Applied AI, Google Cloud

1 Week ago • 2-4 Years • Artificial Intelligence

Job Summary

Job Description

This Software Developer III role at Google Cloud focuses on developing and scaling the Food AI platform. Responsibilities include using data-driven approaches to identify improvement opportunities, proposing innovative solutions, and collaborating with teams. The role encompasses the entire feature development lifecycle, from initial experimentation to ongoing optimization. Collaboration with Vertex and Gemini teams to enhance LLM and speech-to-text models is also key. The ideal candidate will have experience with Python, data structures, algorithms, and ideally experience with large-scale systems, ML/NLP, and cloud environments. Experience with production-grade LLM-based applications and system optimization is highly valued.
Must have:
  • Bachelor's degree or equivalent experience
  • 2+ years software development experience (Python)
  • 2+ years experience with data structures/algorithms
  • Develop and scale Food AI platform
  • Data-driven analysis and solution proposal
Good to have:
  • Master's/PhD in CS or related field
  • Experience with large-scale systems, data analysis, visualization
  • Experience productizing ML/NLP systems
  • Cloud environment experience
  • Production-grade LLM application experience

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 in an industry setting.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • Experience developing software applications using Python.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
  • Experience in productizing and productionalizing applied Machine Learning (ML)/NLP systems.
  • Experience building within Cloud environments.
  • Experience in production grade LLM-based applications, with the knowledge of LLM technologies.
  • Knowledge of optimizing a system end-to-end, including ML-based components, and innovations and converting technologies to product value.

About the job

Google's software developers 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 software developers 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 developer, 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 software developers 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.

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

  • Develop and scale the Food AI platform to accommodate a growing customer base.
  • Use a data-driven approach to analyze opportunities for improvement in Food AI, propose innovative solutions, and collaborate with relevant teams to land them. 
  • Take full ownership of the Food AI feature development lifecycle, from initial idea experimentation, design, implementation, deployment, monitoring, and ongoing optimization.
  • Partner with various Vertex and Gemini teams to improve the quality of the foundation Large Language Model (LLM) and speech-to-text model.

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