Google

Senior Research Scientist, Gemini Release Evaluations, DeepMind

Google$174K — $252K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Computer Science or related field, or equivalent practical experience.
  • 2 years of experience leading a research agenda.
  • 1 year of experience in a data science position.
  • Proficient in AI model training, testing, evaluation, and tuning.
  • Experience managing large language model (LLM) release cycles.

Responsibilities

  • Author research papers to disseminate findings in the research community.
  • Define data structures, frameworks, designs, and evaluation metrics for research projects.
  • Identify and fill gaps in existing release evaluations, creating new state-of-the-art datasets.
  • Analyze the relationship between static evaluations and live production traffic.
  • Drive project work by managing timelines and resource acquisition.

Benefits

  • Learning opportunities and varied career pathways.
  • Focus on safety and ethics in AI development.
  • Collaborative work environment with interdisciplinary teams.
  • Contribution to public benefit and scientific discovery.
Full Job Description
info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:
  • PhD in Computer Science, a related field, or equivalent practical experience.
  • 2 years of experience leading a research agenda.
  • 1 year of experience in a data science field.
  • Experience with AI model training, testing, evaluation, and tuning processes, as well as LLM release cycles and timeline management.

Preferred qualifications:
  • 2 years of coding experience.
  • 1 year of experience leading research efforts and influencing other researchers.


About the job

Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • Author research papers to share and generate impact of research results across function and in the research community.
  • Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
  • Identify gaps in our existing release evals and create new SOTA datasets that push frontier models to their limits.
  • Help build a deeper understanding of the relationship between static evaluations and live production traffic.

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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