1 day ago
Base Salary
$262k - $364k/yr
Responsibilities
- Design and optimize complex ML pipelines and distributed systems to improve resource efficiency and AI/ML data quality.
- Drive AI/ML techniques from conceptual prototypes through global production.
- Set standards for code quality, testing, deployment, architecture reviews, and system performance.
- Mentor executive and mid-level engineers and foster technical growth.
- Represent the team in high-level technical discussions across the organization.
- Partner with researchers to operationalize models and align technical roadmaps with user needs.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 8 years of software development experience.
- At least 7 years leading technical project strategy, ML design, and end-to-end machine learning optimization, including model deployment, model evaluation, data processing, debugging, and fine-tuning.
- At least 5 years of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
- At least 5 years of experience with design and architecture and with testing and launching software products.
- Preferred: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Preferred: 8 years of experience with data structures and algorithms.
- Preferred: 5 years in a technical leadership role leading project teams and setting technical direction.
- Preferred: 3 years in a complex, matrixed organization involving cross-functional or cross-business projects.
Benefits
- Bonus target, equity, and employee benefits are provided.
- The role is part of Google Cloud and the AI Data organization, building infrastructure used at global scale.
Tech Stack
Google Cloud
Categories
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.