Software Engineer III, AI/ML, AI Innovation and Research
Google · Bengaluru · onsite · Posted 47d ago
Not disclosed2–3 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
In most instances, this position requires in-person interviews as part of the hiring process.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, 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.
This is a unique opportunity to build an innovative GenAI product from zero to one. We are looking for a highly motivated Generative AI (GenAI) Engineer to architect our breakthrough zero-to-one GenAI creation engine. In this role, you will lead the technical transition from foundational research to real-time production, building sub-second 2D/3D asset pipelines, developing a specialized foundation language model, and pioneering autonomous agentic playtesting harnesses.
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.
Responsibilities
- 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).
- Master's degree or PhD in Computer Science, or a related technical field.
- 2 years of experience with data structures and algorithms.
- Experience developing accessible technologies.
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.
This is a unique opportunity to build an innovative GenAI product from zero to one. We are looking for a highly motivated Generative AI (GenAI) Engineer to architect our breakthrough zero-to-one GenAI creation engine. In this role, you will lead the technical transition from foundational research to real-time production, building sub-second 2D/3D asset pipelines, developing a specialized foundation language model, and pioneering autonomous agentic playtesting harnesses.
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.
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 Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.
Sourced from foundit
Skills
autonomous agentic playtestingModel Deploymentmodel evaluationprogramming languagesreinforcement learningModel Optimizationdata structures and algorithmsdebuggingData ProcessingGenerative Ai
About Google
Software Product
46.3k+
employees
1998
28 years old
Mountain View,California
United States
About
Google Operations Center is a unique company of problem-solvers, partnering with Google to provide support to their users and customers.
Industries
Software ProductFinancial ServicesAnalytics & KPO
Employee ratings
1,897 reviews
4.4/ 5
Culture
4.4
Career growth
4.1
Work-life
4.4
Employees rate it well for
Work Culture154Work Life Balance114Salary105Work Environment81Learning64
Find them on