Senior Software Engineer, AI/ML Infrastructure
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in C++ and Python.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience with responsible ML and ML explainability concepts and practices.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Ability to learn and apply concepts in Large Language Model (LLM) training and serving, ML frameworks, and TPU/GPU architecture, Tensorflow, JAX, Keras and Gemax.
- Passion for building infrastructure to increase the velocity of ML development.
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.AI Frontiers ML Infra and Modeling team wants your help accelerating the development of GenAI applications.
Our mission is to: Enable Googlers to enhance products and services with ML by providing innovative, and trustworthy AI/ML platforms.
We own and operate a multitentant ML-as-a-service platform used by Google product teams to build and launch GenAI-powered products (classical ML too!). We have thousands of users across Alphabet and collaborate with teams from Shopping, Youtube, Ads, and more!
This team provides the missing link between AI researchers and product teams to ensure that the latest-and-greatest in AI technology are effectively used in Google products to drive real-world impact.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 maintain our production service, written in C++ and Python, and further the platform vision of incorporating prompt optimization, fine tuning, hyper parameter optimization, and ML best practices into Google product development.
- Develop an understanding of various parts of Google’s ML training and serving stack. Influence and coach a distributed team of engineers.
- Identify opportunities to improve the efficiency of the ML fleet and build solutions and capabilities to improve ML fleet efficiency. Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Design and implement customer requested ML and AI features. From requirements-gathering and design-authoring, through implementation and landing impact in production.
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