About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search.
What they're looking for
- Bachelor’s degree or equivalent practical experience
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree
- 1 year of experience with AI/ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)
More about this role
- Design, develop, test, and deploy robust, production-grade ML models and infrastructure.
- Build, own and maintain scalable data pipelines, feature stores, and automated training/evaluation workflows to support continuous model iteration.
- Partner closely with Product Managers, Data Scientists and other ML Engineers to translate requirements into concrete technical solutions.
- Monitor, benchmark, and optimize production ML models for latency, throughput, and cost-efficiency without compromising prediction quality.
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 1 year of experience with one or more of the following: LLM systems, 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.
- 1 year of experience with AI/ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- Master's degree or PhD in Computer Science or related technical fields.
- 2...
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