1 day ago
Base Salary
$147k - $210k/yr
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure code quality, testability, efficiency, and adherence to available technology practices.
- Contribute to documentation or educational content and update it based on product or program changes and user feedback.
- Triage, debug, track, and resolve product or system issues by analyzing impacts on hardware, networks, service operations, and quality.
- Implement solutions in specialized ML areas and contribute to ML infrastructure, model optimization, and data processing.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 2 years of software development experience in one or more programming languages, or 1 year of experience with an advanced degree.
- At least 1 year of experience in speech/audio, reinforcement learning, ML infrastructure, or another specialized ML field.
- At least 1 year of experience with ML infrastructure, including model deployment, model evaluation, optimization, data processing, or debugging.
- Preferred: Master’s degree or PhD in Computer Science or a related technical field.
- Preferred: 2 years of experience with data structures and algorithms.
- Preferred: experience developing accessible technologies.
Benefits
- US base pay is listed as $147000-$210000 per year, plus a 15% bonus target, equity, and benefits.
- The role is part of Google Search and offers opportunities to switch teams and projects as the business evolves.
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.