Technical Lead, ML Frameworks, Runtime, Devices, Numerical Acceleration
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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 leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with design and architecture; and testing/launching software products.
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience with ML development, modeling, optimization, and infrastructure.
- Experience with open-source development.
- Expertise in ML compilers and runtimes.
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
As a Technical Lead, you will be responsible for providing expertise over the compiler and runtime boundary and provide technical strategy and guidance to teams. You will develop annual roadmaps for the team in partnership with managers and other technical leads. You will be responsible for driving technical alignment with teams across Google’s organizations. You will make contributions to code development, strategy, team culture, and processes. You will identify new opportunities for the team and translate our strategy into priorities and projects for the broader group.
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
- Lead, develop, and support training and serving ML development programs and strategy.
- Develop stable, standardized APIs to represent and execute ML programs with a goal to de-fragment the ML infrastructure, insulating users from low-level implementation details.
- Develop end-to-end solutions for Google’s diverse ML ecosystem needs across frameworks, hardware, and tooling.
- Strategize, support, and develop large-scale model training infrastructure.
- Migrate existing models across frameworks, runtimes, and Product Areas custom workflows, onto standardized ML infrastructure with minimal disruption.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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