5 hours ago
Base Salary
$207k - $300k/yr
Responsibilities
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
- Provide technical leadership on high-impact projects and manage project priorities, deadlines, and deliverables.
- Facilitate alignment across teams on goals, outcomes, and timelines.
- Influence and coach a distributed team of engineers.
- Lead the design and implementation of solutions in specialized ML areas.
- Optimize ML infrastructure and guide model optimization and data-processing strategies.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
- 5 years of experience leading ML design and optimizing end-to-end machine learning, including deployment, evaluation, data processing, debugging, and fine-tuning.
- 5 years of experience testing and launching software products.
- 3 years of experience with software design and architecture.
- 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: 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Preferred: 3 years of experience in cross-functional or cross-business projects.
Benefits
- Benefits are provided; the posting refers applicants to Google’s benefits information.
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.