Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 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., sequential decision making), ML infrastructure, or specialization in another ML field.
• 5 years of experience with design and architecture, and testing/launching software products.

Preferred qualifications:

• Experience in ideation of technology and passion for development and the use of cross-platform shared code.
• Understanding of ML Systems and Infrastructure for production with knowledge to engage with customers and engineers.
• Understanding of GenAI model development workflows for post-training and product fine-tuning, including multimodal and generative media.

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-data organization's mission is to build AI data systems that drive the responsible development of the best AI models and products in the world.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $248,000-$349,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Build and enhance AI-data infrastructure for improving model iteration for all use-cases, while performing Individual Contributor (IC) work.
• Address challenges in model iteration workflows such as data sourcing, data sampling, evaluation automation, loss analysis.
• Build and optimize infrastructure for developing and deploying data quality signals and autoraters, including tools for prompting, large-scale inference, visualization, and evaluation.
• Address the technical challenges of the evolving field of Generative AI (GenAI), working to create solutions.
• Interact with the partner model-quality teams in CloudAI teams. Work with various partner teams in AI-data and customer teams (Google products). Drive GenAI models through focus on model capability improvements from data.

${qualifications}${responsibilities}
Requisition #: 91807104796369606

pca3lyuhf