Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. Products need to handle information at massive scale, extending beyond web search. Google Ads is helping power the open internet with technology that connects and creates value for people, publishers, advertisers, and Google. Teams create trusted experiences between people and businesses with useful ads, grow businesses of all sizes, and enable Google to engage with customers at scale.
Requirements
- 5 years of experience programming in C++ and Python, Large Scale Distributed Systems, and Large Scale Data Processing.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 10 years of experience in software engineering and systems design.
- 5 years of experience with data structures/algorithms.
- Research experience in computer vision, natural language processing, or reinforcement learning.
Responsibilities
- Write and test product or system development code.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
- Build data pipelines and infrastructures.
- Develop Ads content and audience understanding using the ML research, and ensure safe, sustainable ads targeting within evolving privacy and regulatory landscapes.
- Enforce content based policy violations and while attending to the urgent issues and escalations and protecting the user from Ads targeting and personalization abuse.
- Unlock good ads from good advertisers with efficiency to create a stronger ads ecosystem and more open internet.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or related technical field.
- Experience developing accessible technologies.
- 1 year of experience in a technical leadership role.
- Versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack.
