Software Engineer III, ML/AI Innovation and Research
About the job
SummaryBy Outscal
- Bachelor's degree or equivalent experience
- 2 years of software development experience
- 2 years of experience with data structures or algorithms
- 1 year of experience with ML infrastructure (e.g., model deployment, evaluation, optimization, data processing, debugging)
- Experience with AI and Machine Learning
- Master's degree or PhD in Computer Science or related fields
- Experience developing accessible technologies
- Experience in machine learning, deep learning, and AI development
- Experience building and deploying production-level models
- Experience collaborating with product teams
- Experience working in a research or academic setting
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.
- 2 years of experience with data structures or algorithms.
- 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), or specialization in another ML field.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- Experience with Artificial Intelligence and Machine Learning.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experience developing accessible technologies.
- Experience in machine learning, deep learning, and AI development, with experience building and deploying production-level models.
- Experience collaborating effectively with product teams, understanding their goals and working in partnership to make them a reality through AI solutions.
- Experience working in a research or academic setting, collaborating with researchers and translating research findings into practical applications.
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.
AI & Research Accelerator (AIRX) and On-Device Intelligence (ODI) are two parts of the recently formed AI Innovation and Research (AIR) organization - the catalyst for AI innovation in Platforms & Devices (P&D).
The AIRX team aims to develop and launch cutting edge AI experiences across priority P&D initiatives. AIRX partners closely with P&D product teams, guiding them through every step of AI integration, from ideation to deployment.
On-Device Intelligence researches, builds, and ships technology to enable OS-level Agentic Experiences with an emphasis on on-device, and enables next generation Gemini-based user interactions.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Responsibilities
- Write product or system development code.
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
- Develop, train, evaluate, and deploy AI/ML models, ensuring their robustness, scalability, and successful integration into production systems.
- Collaborate with product teams and research teams to deliver AI-based features. Identify common needs across multiple engagements and build shared infrastructure and models which will serve as a common toolset and blueprints to deliver the next engagements faster.
About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
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