Senior Research Engineer, AI/ML
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Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 2 years of experience in applied Machine Learning within Conversational AI: NLU for multi-turn dialogue and context, modeling strategies with smaller LLMs.
- 1 year of experience in the development of LLM-agents to orchestrate tool usage, (multimodal) LLMs for modeling actions/APIs, aligning LLMs with rewards, etc.
- Experience with data and novel training methodologies for domain adaptation.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
- Expertise in Agents, LLM-reasoning, and RL methodology.
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.
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
- Manage Agentic AI, orchestrate tool usage, native functional calling, and handle complex queries in reactive/proactive paths.
- Develop and implement novel algorithms and methodologies for a new domain, focusing on the fine-tuning of large foundational models.
- Demonstrate applied research expertise with Conversation AI: NLU for multi-turn dialog/context, Large Language Models (LLMs) for modeling actions/APIs, aligning LLMs with rewards, etc.
- Optimize for LLM efficiency and inference performance in complex engineering systems such as Search and Assistant.
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