Senior Software Engineer, Machine Learning, Platforms and Devices

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Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience in software development, and with data structures/algorithms.
• 3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
• Experience with applied research on machine learning models.
• Experience with cross-functional collaboration.

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience with Machine Learning infrastructure.

About the job

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.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Responsibilities

• Write product or system development code.
• Lead design reviews with peers and stakeholders to decide amongst available technologies.
• Partners with Researchers across Alphabet to build edge focused emerging AI capabilities and technologies.
• Partner with multiple Product teams to develop novel user experiences.
• Design, develop, and launch new product features in software development