Minimum qualifications:
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, 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.
In this role, you will join a team of researchers and software engineers with a passion for exploring how Machine Learning and Artificial Intelligence technologies can be used to positively impact the world. You will contribute to research projects with applications across industries, and develop collaborations with partners to contribute to building a local ecosystem and to deploy models in the real world.
Research happens at Google everyday, on many different embedded teams throughout the company. Our research reaches the user through both services and products such as Search, Maps, Google Assistant, Google Translate, Google Cloud and our computing, storage, and networking infrastructure. To achieve this, we’re working on a wide variety of projects that utilize the latest state-of-the-art technologies that push the boundaries of what is possible.
Responsibilities
- Experience programming in one or more of the following languages: Python, C, C++.
- Experience in Artificial Intelligence (Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification or related field).
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
- Experience with Machine Learning libraries (TensorFlow, JAX, scikit-learn, etc.).
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, 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.
In this role, you will join a team of researchers and software engineers with a passion for exploring how Machine Learning and Artificial Intelligence technologies can be used to positively impact the world. You will contribute to research projects with applications across industries, and develop collaborations with partners to contribute to building a local ecosystem and to deploy models in the real world.
Research happens at Google everyday, on many different embedded teams throughout the company. Our research reaches the user through both services and products such as Search, Maps, Google Assistant, Google Translate, Google Cloud and our computing, storage, and networking infrastructure. To achieve this, we’re working on a wide variety of projects that utilize the latest state-of-the-art technologies that push the boundaries of what is possible.
Responsibilities
- Participate in research projects at all stages from inception to deployment.
- Set-up tools and procedures to collect the appropriate data.
- Develop machine learning models in Python, and develop tools and systems to train them at scale on Google's infrastructure.
- Run experiments and design procedures for evaluating the results and assessing potential impact.
Industry
- Information Services
- Internet
Job Functions
- Engineering
- Information Technology
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