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Waze's software engineers are a small group of people who directly impact the daily lives of millions of drivers worldwide. As a software engineer, you are the architect, designer and coder of your project. In addition, you work closely with the product team to make vision become reality. You are dynamic and able to work well both independently and as part of a team.

At Waze, we leave all egos at the door and concentrate on the job at hand. We value passionate, down to earth, can do people who enjoy fine-tuning small details, without losing sight of the big picture. We are looking for the type of person who feels uncomfortable when a day goes by without achieving something impactful. Someone who is driven to get things done and views obstacles as an exciting challenge that demands a creative solution. Above all else, this role requires someone who takes great pride in their work and is inspired and motivated by their role in improving the way millions of people drive worldwide.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.

Responsibilities
Serve as a key part of our Mobile Technologies team.
Design and implement advanced features for Waze App.
Experiment with exciting and innovative technologies.
Help improve user experience for Waze on iOS.

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 Googles 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 research new modeling approaches for improving multilingual capabilities of Large Language Models used on key Google products like Gemini, Search, and Cloud Vertex AI (e.g., pre-training, instruction following, and cross-lingual tasks). You will also explore pre-training for target languages other than English and develop the infrastructure that supports this research. Our team is committed to developing advanced methodologies tailored specifically for multilingual environments. We focus on pre-training multilingual models, enhancing the quality of multilingual instruction-tuning datasets, refining multilingual evaluation processes, boosting knowledge transfer across languages, and optimizing multilingual tokenization, among other initiatives.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities
Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
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.