Software Engineer III, Google Applied AI

1 Day ago • 2-5 Years • Artificial Intelligence • $141,000 PA - $202,000 PA

Job Summary

Job Description

This Software Engineer III role at Google Applied AI focuses on developing and scaling the Food AI platform. Responsibilities include using data-driven approaches to improve the platform, proposing innovative solutions, and collaborating with teams. The role encompasses the entire feature development lifecycle, from initial ideation to ongoing optimization. Collaboration with Vertex and Gemini teams to enhance LLMs and speech-to-text models is also crucial. The ideal candidate will have experience with GenAI concepts, ML infrastructure, and software development in various programming languages.
Must have:
  • Bachelor's degree or equivalent experience
  • 2+ years software development experience
  • 2+ years data structures/algorithms experience
  • 1+ year GenAI experience (LLM, Multi-Modal)
  • 1+ year ML infrastructure experience
  • Develop and scale Food AI platform
  • Data-driven approach to improvement
  • Full ownership of feature development lifecycle
Good to have:
  • Master's/PhD in Computer Science
  • Experience with 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.
  • 2 years of experience with data structures or algorithms.
  • 1 year of experience with core GenAI concepts (e.g., LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • 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.

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.

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

  • 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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