19 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 ensure code quality, accuracy, testability, and efficiency.
- Contribute to and update documentation or educational content based on product updates and user feedback.
- Triage, debug, track, and resolve product or system issues by analyzing their sources and operational impact.
- 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 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/LLM, machine learning or ads industry experience, and strong quantitative reasoning skills.
Benefits
- 15% bonus target, equity, and benefits.
- US base salary of $147000-$210000 annually.
- Google benefits are available; details are provided through the company benefits information.
- The posting does not specify a remote, hybrid, or in-office work arrangement.
Categories
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh