PRODUCT AREA
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
JOB DESCRIPTION
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. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Qualifications
JOB RESPONSIBILITIES
- Investigate, design and develop services
- Integrate, finetune and improve existing ML models and services
- Evaluate existing ML models, services and metrics
- Collaborate closely with other team members to deliver features end-to-end
MINIMUM QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience
- Experience with software development in one or more programming languages (e.g., Python, C, C++, Java)
PREFERRED QUALIFICATIONS
- Experience with applied Machine Learning, including but not limited to training, deploying, serving and monitoring on ML models
- Experience with technologies including but not limited to large language models, large image models, multi-modal models, encoders, classical machine learning models
