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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Design and build scalable infrastructure, tools, pipelines, workflows and provide high impact data sets to support the rapidly evolving GenAI data ecosystem.
Design and build scalable systems and platforms to support iterative model quality analysis, continnous model compliance and safety monitoring.
Apply data enrichment, curation and analysis techniques to improve the compliance and quality of ML models.
Support client onboarding and engagement on platform.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
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 leading ML design and optimizing end-to-end machine learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.
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 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.
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
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 leading ML design and optimizing end-to-end machine learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.
