Google - Mountain View, CA

posted 6 months ago

Full-time - Entry Level
Mountain View, CA
5,001-10,000 employees
Web Search Portals, Libraries, Archives, and Other Information Services

About the position

As a Research Scientist at Google Research, you will be part of an organization that maintains a diverse portfolio of research projects driven by fundamental research, new product innovation, and infrastructure goals. This role emphasizes the freedom for individuals and teams to focus on specific types of work, allowing for creativity and innovation in the field of computer science. You will be responsible for setting up large-scale tests and deploying promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. Your work will involve creating experiments and prototyping implementations, as well as designing new architectures. The research problems you tackle will span various domains, including machine learning, data mining, natural language processing, and performance analysis of hardware and software. You will also be expected to actively contribute to the wider research community by sharing and publishing your findings, drawing inspiration from both internal projects and collaborations with partner universities and technical institutes worldwide. The team you will join is focused on developing the next generation of technologies that power systems such as recommenders and other user-facing products at Google, with a strong emphasis on long-term user satisfaction. Google Research addresses challenges that define the technology of today and tomorrow, providing you with the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that benefit everyone, and we are committed to sharing our research and tools to fuel progress in the field, regularly publishing in academic journals and releasing projects as open source.

Responsibilities

  • Work with and research two or more of the following topics: recommender systems, mechanism/market design, multi-agent modeling and optimization, user modeling, interactive systems, generative AI models, reinforcement learning.
  • Design and implement scalable machine learning and optimization techniques to solve real-time problems in user-facing, interactive systems (e.g., recommender systems).
  • Pursue a combination of research (with the opportunity to publish) and technology development and innovation in real products.
  • Collaborate with other researchers and developers in collaborative teams.

Requirements

  • PhD in Computer Science, a related field, or equivalent practical experience.
  • One or more scientific publication submission(s) for conferences, journals, or public repositories.
  • Experience with one or more of the following: multi-agent systems, algorithmic mechanisms or market design, recommender systems, reinforcement learning or active learning, generative AI.

Nice-to-haves

  • 2 years of coding experience.
  • 1 year of experience owning and initiating research agendas.
  • Experience with Machine Learning methods.
  • Experience programming in C, C++, or Python.
  • Experience with publication record.

Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan with company matching
  • Paid time off
  • Parental leave
  • Employee stock purchase plan
  • Tuition reimbursement
  • Professional development opportunities
  • Wellness programs
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