8 hours ago
Base Salary
$207k - $300k/yr
Responsibilities
- Design and build scalable infrastructure, tools, pipelines, workflows, and datasets supporting the GenAI data ecosystem.
- Build scalable systems and platforms for model quality analysis, compliance, and safety monitoring.
- Apply data enrichment, curation, and analysis techniques to improve ML model compliance and quality.
- Design, develop, test, deploy, maintain, and enhance software solutions.
- Support client onboarding and engagement on the platform.
- Manage project priorities, deadlines, and deliverables.
Requirements
- Bachelor’s degree or equivalent practical experience.
- Eight years of experience in software development.
- Five years of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
- Five years of experience leading ML design and optimizing end-to-end machine learning, including deployment, evaluation, data processing, debugging, or fine-tuning.
- Experience integrating generative AI tools or LLM interfaces into workflows.
- Preferred: master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Preferred: eight years of experience with data structures and algorithms.
- Preferred: three years in a technical leadership role leading project teams and setting technical direction.
- Preferred: three years working in a complex, matrixed organization involving cross-functional or cross-business projects.
Benefits
- US base salary of $207000–$300000, plus a 20% bonus target, equity, and benefits.
- Work supports Google generative AI products across Gemini, AI Studio, Search, and Cloud surfaces.
- Partners with DeepMind, Trust and Safety, and Product Engineering teams.
Tech Stack
Google Cloud
Categories
Data EngineeringML Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.