Google

Software Engineer III, Applied AI/ML, Google Cloud

Job Description

  • Drive Generative AI (GenAI) Accuracy/Security improvement initiatives (e.g., Prompt Engineering, Intent Classification, Fine tuning, RAG, etc.).
  • Participate in on-call responsibilities in the team to ensure that existing production systems meet Service Level Objective (SLOs).
  • Ensure infrastructure is compliant with Google principles with security, performance, reliability, fault-tolerance, etc.
  • Ensure the roll out process for new changes is compliant with the latest Google principles.
  • Work cross-functionally and collaboratively with other service teams in Google Customer Solutions (GCS) to solve problems and drive cross-functional execution.

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., Large Language Model (LLM), Multi-Modal, Large Vision Models) with text, image, video, or audio generation.
  • 1 year of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

  • Experience with Artificial Intelligence/Machine Learning (AI/ML) systems in a customer facing production environment.
  • Experience with a multi-region cloud based storage system.
  • Experience with developing data pipelines to compute metrics.
  • Experience with distributed storage infrastructure systems.
  • Experience of developing testing frameworks for storage infrastructure systems.
  • Experience with Service Oriented Architecture (SOA) based or Microservices based architecture.
  • 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., Large Language Model (LLM), Multi-Modal, Large Vision Models) with text, image, video, or audio generation.
  • 1 year of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
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 work with a team of engineers, and get to build and own components for Storage Management with Gemini. You will work with teams to identify accuracy, reliability and scalability issues with the current infrastructure, and will have the opportunity to lead the design and implementation of new components.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.


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