Senior Staff Software Engineer, Machine Learning, ML Training

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. Google’s revolutionary Cloud TPUs were designed from the ground up to accelerate machine learning workloads, providing the computational power to train and run machine learning models in a fraction of the time and cost conventionally required. With the new Google Cloud Plat [... source excerpt omitted ...] y 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Build and deliver ML frameworks to perform training at LLMS and stable diffusion models for Google Cl [... source excerpt omitted ...] gers and other engineering teams to get high-quality products and features through the software project lifecycle. Design, develop, test, deploy, maintain, and improve software. Qualifications Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development (e.g., Python). 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 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.,