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Home›Jobs›Google›Research Scientist, Factuality
Google

About Google

Empowering the world through technology and information

🏢 Tech👥 100K+📅 Founded 1998📍 Mountain View, California, United States

Key Highlights

  • Over 100,000 employees globally
  • Headquartered in Mountain View, California
  • Parent company Alphabet Inc. valued at $1.5 trillion
  • Google Cloud Platform serves millions of customers

Google LLC, headquartered in Mountain View, California, is a global leader in internet-related services and products, including its flagship search engine, Google Search, and the Android operating system. With over 100,000 employees, Google also offers cloud computing services through Google Cloud P...

🎁 Benefits

Google offers competitive salaries, equity options, generous PTO policies, comprehensive health benefits, and a remote work policy that allows flexibi...

🌟 Culture

Google is known for its engineering-first culture, emphasizing innovation and collaboration. The company fosters a unique environment that encourages ...

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Google

Research Scientist, Factuality

Google • London, UK

Posted 3d agoMid-LevelResearch scientist📍 London
Apply Now →

Skills & Technologies

PythonJavaScriptRJavaC++Machine learningLarge language modelsGenerative ai

Overview

Google is seeking a Research Scientist to enhance the factuality of their Gemini AI. You'll collaborate with research and engineering teams, leveraging skills in Python, Java, and machine learning. This role requires a PhD and experience in leading research agendas.

Job Description

Who you are

You hold a PhD in Computer Science or a related field, complemented by at least 2 years of experience leading a research agenda. Your background includes proficiency in programming languages such as Python, JavaScript, R, Java, or C++, and you have a track record of submitting scientific publications to conferences or journals. You are well-versed in the latest advancements in AI, particularly in the realm of Large Language Models (LLM) and generative models, and you possess experience in software engineering for machine learning applications.

Desirable

Experience with publications in top machine learning conferences like NeurIPS, ICML, or ACL is a plus. You have a strong understanding of the theoretical aspects of AI and a passion for applying this knowledge to real-world challenges. Your collaborative spirit allows you to work effectively with diverse teams, driving foundational improvements in AI capabilities.

What you'll do

As a Research Scientist at Google, you will play a pivotal role in measuring and enhancing the factuality of the Gemini AI system. Your responsibilities will include driving research efforts to improve Gemini's capabilities, such as factuality, through the design and execution of supervised fine-tuning and reinforcement learning experiments. You will curate and generate data to evaluate and enhance Gemini's performance, ensuring that the AI meets high standards of accuracy and reliability.

You will collaborate extensively with various research and engineering teams, leveraging your expertise to guide experimental directions and review the latest literature in the field. Your work will contribute to the development of new model capabilities, and you will be instrumental in delivering these advancements to production. You will also engage in discussions with partners and product functions to align research objectives with practical applications, ensuring that your findings translate into impactful improvements in AI technology.

What we offer

At Google, you will be part of a dynamic team that is at the forefront of AI research. We offer a collaborative environment where your contributions will directly influence the future of AI technology. You will have access to cutting-edge resources and the opportunity to work alongside some of the brightest minds in the industry. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in shaping the future of AI and making a meaningful impact in the field.

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