20 hours ago
Base Salary
$147k - $210k/yr
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to promote code quality, accuracy, testability, and efficiency.
- 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, services, and quality.
- Implement solutions in specialized ML areas, use ML infrastructure, and contribute to model optimization and data processing.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 2 years of experience with a general-purpose programming language such as C/C++, Python, or Java.
- At least 1 year of experience with ML infrastructure, including areas such as model deployment, model evaluation, optimization, data processing, or debugging.
- At least 1 year of experience with ML modeling, ML infrastructure, or another ML specialization.
- 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 with GenAI or LLMs, machine learning or ads, and strong quantitative reasoning demonstrated through a mathematical field.
Benefits
- US base pay is $147000 - $210000, plus a 15% bonus target, equity, and benefits.
- The posting provides access to Google’s benefits information.
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.