Research Scientist, Reinforcement Learning, Large Language Models (English)

Google
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Job Description

Minimum qualifications:

  • Master's degree in Computer Science or equivalent practical experience.
  • Experience in Reinforcement Learning (RL) research.
  • Ability to speak and write in English fluently.

Preferred qualifications:

  • PhD in Reinforcement Learning (RL) or equivalent practical experience.
  • Experience in Natural Language Processing (NLP) research or related fields.
  • Experience building production quality models (e.g., coding, testing, and evaluation).

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.

This team is a multidisciplinary team of Reinforcement Learning (RL) and Natural Language Processing (NLP) researchers, engineers, and product managers that specializes in applications of reinforcement learning to Large Language Models (LLM) training. We collaborate with product teams to identify cross-cutting requirements, partner with other groups in Google Research to develop techniques that answer these requirements, and work with infrastructure teams to integrate them into the existing tools.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities

  • Progress research for training LLM using reinforcement learning methods.
  • Contribute to the next generation of LLM-based products in Google.

Company Info.

Google

Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
    139,995
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
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