Senior Staff Software Engineer, Cloud Specialized Generative AI

3 Months ago • 8-12 Years • Artificial Intelligence

Job Summary

Job Description

Google Cloud seeks a Senior Staff Software Engineer specializing in Cloud Specialized Generative AI. This role requires 8+ years of software development experience, expertise in machine learning algorithms (TensorFlow), AI, deep learning, or NLP, and 5+ years in software design, architecture, testing, and launch. Responsibilities include assessing Generative AI's technological fit for Cloud customers, prototyping solutions, designing new systems and algorithms (using pre-trained models or training new ones), aligning multiple teams, and ensuring model output quality. The ideal candidate will have experience with Generative AI solutions, model specialization techniques (SFT, RLHF), and technical leadership. A Master's or PhD in a related field is preferred.
Must have:
  • 8+ years software development experience
  • Expertise in machine learning algorithms
  • 5+ years in software design, architecture, testing
  • Experience with Generative AI solutions
  • Model specialization techniques (SFT, RLHF)
  • Technical leadership experience
Good to have:
  • Master's or PhD in Computer Science
  • Experience in quality evaluation and improvement of model outputs

Job Details

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development, and with data structures/algorithms.
  • 7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing.
  • 5 years of experience with design and architecture; and testing/launching software products.

Preferred qualifications:

  • Master’s degree or PhD in computer science or other technical related field.
  • Experience developing Generative AI based solutions and applying model specialization techniques (SFT, RLHF).
  • Experience in Technical leadership.
  • Knowledge of machine learning and its applications.
  • Experience in the development process focused on quality evaluation and improvements of model outputs.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

Responsibilities

  • Assess technological fit of Generative AI innovations to market needs of Cloud customers across a wide range of industries.
  • Prototype and iterate on the solution working with customers, product management, and business development.
  • Design new systems and algorithms utilizing existing pre-trained models and training new models by defining training/evaluation sets and objectives.
  • Build alignment among multiple teams to build a complex solution.
  • Own quality evaluation of model outputs and plan and execute strategy of model quality improvements.

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