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Home›Jobs›Graphcore›Research Scientist (Embodied AI & World Models)
Graphcore

About Graphcore

Accelerating AI with efficient, powerful technology

🏢 Tech👥 201-500 employees📅 Founded 2016📍 Old City, Bristol, UK💰 $682m⭐ 3.9
B2BArtificial IntelligenceEnterpriseDeep TechComputer VisionMachine LearningSaaSCloud Computing

Key Highlights

  • Headquartered in Bristol, UK with 201-500 employees
  • $682 million raised in Series D funding
  • Developing an AI supercomputer set to debut in 2024
  • Specializes in AI accelerators for deep learning and computer vision

Graphcore, headquartered in Bristol, UK, is a leading player in the artificial intelligence sector, specializing in AI accelerators designed to enhance machine learning efficiency. With over $682 million raised in Series D funding, Graphcore is developing an AI supercomputer set to launch in 2024, a...

🎁 Benefits

Graphcore offers flexible working arrangements to promote work-life balance, along with Private Medical Insurance (PMI) for employees and their famili...

🌟 Culture

Graphcore's culture is centered around sustainability and innovation in AI technology. The company focuses on developing energy-efficient solutions th...

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Graphcore

Research Scientist (Embodied AI & World Models)

Graphcore • Bristol, UK

Posted 3w agoResearch scientist📍 Bristol
Apply Now →

Skills & Technologies

PythonMachine learningComputer vision

Overview

Graphcore is seeking a Research Scientist specializing in Embodied AI and World Models to advance AI research and develop hardware-aware AI algorithms. You'll work with technologies like Python and Machine Learning in Bristol.

Job Description

Who you are

You are a researcher with a strong background in AI and machine learning, particularly in low-power and embodied scenarios such as robotics and augmented reality. Your experience includes developing multimodal AI models and understanding the intricacies of real-time computer vision. You possess both theoretical knowledge and practical skills that enable you to tackle complex AI challenges effectively. You are passionate about pushing the boundaries of AI research and are eager to contribute to impactful projects that shape the future of artificial intelligence.

You have a solid understanding of hardware-aware AI algorithms and are familiar with the latest advancements in AI compute technologies. Your ability to collaborate with cross-functional teams, including engineers and scientists, allows you to integrate theoretical research with practical applications seamlessly. You are committed to continuous learning and staying updated with the latest trends in AI and machine learning.

Desirable

Experience in deploying AI models in real-world applications, particularly in edge computing environments, is a plus. Familiarity with programming languages such as Python and frameworks for machine learning will enhance your contributions to the team. You are open to exploring new ideas and methodologies that can lead to innovative solutions in AI research.

What you'll do

As a Research Scientist at Graphcore, you will investigate new ideas that push the limits of AI and machine learning. Your role will involve conducting research on hardware-aware AI algorithms and developing AI models that can operate efficiently in low-power environments. You will collaborate with a team of experts to design experiments, analyze results, and publish findings that contribute to the broader AI community.

You will be responsible for exploring the training and deployment of multimodal AI models, focusing on applications in robotics, autonomous driving, and augmented/virtual reality. Your work will directly impact the development of AI technologies that are critical to the future of the industry. You will engage in discussions with other researchers and engineers to share insights and drive innovation within the team.

What we offer

Graphcore provides a dynamic work environment where you can collaborate with some of the brightest minds in the AI field. You will have the opportunity to work on cutting-edge technology that is shaping the future of AI compute. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to advance AI research and make a significant impact in the industry.

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