Software Engineer, AI/ML, AI Innovation and Research
Job Description
Google | Bengaluru, Karnataka, India. 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 (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), 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). Experience in Artificial Intelligence, Software Engineering, Machine Learning, Data Analysis. 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. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Locations
- Bengaluru, Karnataka, India
Salary
Salary not disclosed
Skills Required
- software developmentintermediate (programming)
- Speech/audio technologyintermediate (machine learning)
- reinforcement learningintermediate (machine learning)
- ML infrastructureintermediate (machine learning)
- data structuresintermediate (algorithms)
- algorithmsintermediate (algorithms)
- Large Language Modelsadvanced (machine learning)
Required Qualifications
- Bachelor’s degree (degree in Computer Science)
- software development (experience in programming languages, 2 years)
- software development with advanced degree (experience in programming languages, 1 years)
- Speech/audio, reinforcement learning, ML infrastructure, or ML specialization (experience in machine learning, 1 years)
- ML infrastructure (experience in model deployment, evaluation, optimization, data processing, debugging, 1 years)
- Artificial Intelligence (experience)
- Software Engineering (experience)
- Machine Learning (experience)
- Data Analysis (experience)
- Master's degree or PhD (degree in Computer Science or related technical fields)
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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.
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
Benefits
- equal opportunity: Google is proud to be an equal opportunity and affirmative action employer committed to building a workforce that is representative of the users we serve.
- culture: Creating a culture of belonging and providing equal employment opportunity.
- accommodations: Accommodations for applicants with needs by completing the Accommodations for Applicants form.
Documents
Application Instructions
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