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.
At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone.
Minimum Qualifications:
– 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: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
– 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred Qualifications:
– Master’s degree or PhD in Computer Science or related technical fields.
– 2 years of experience with data structures and algorithms.
– Experience developing accessible technologies.
Responsibilities:
– Write product or system development code.
– Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
– 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.
– Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
Skills Required:
– Software Development
– Machine Learning (ML)
– AI/ML Infrastructure
– Reinforcement Learning
– Speech/Audio Technologies
– Model Deployment & Optimization
– Data Processing
– Data Structures & Algorithms
– Python / C++ or other programming languages