Graphcore

About Graphcore

Accelerating AI with efficient, powerful technology

🏢 Tech👥 201-500 employees📅 Founded 2016📍 Old City, Bristol, UK💰 $682m3.9
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...

Graphcore

Machine Learning Engineer Senior

GraphcoreCambridge

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Skills & Technologies

Overview

Graphcore is hiring a Senior Machine Learning Engineer to develop and optimize AI models for their specialized hardware. You'll work on large-scale systems where performance is critical. This role requires strong technical skills in AI model implementation.

Job Description

Who you are

You have a strong background in machine learning and AI, with experience in developing and optimizing models for large-scale systems. Your expertise in Python and frameworks like TensorFlow and PyTorch allows you to implement complex algorithms effectively. You understand the intricacies of AI model deployment and are eager to innovate in this rapidly evolving field.

You thrive in collaborative environments, working closely with software development and research teams to ensure that AI models integrate seamlessly with Graphcore's technology. Your ability to communicate complex ideas clearly makes you a valuable team member, as you help bridge the gap between technical and non-technical stakeholders.

You are passionate about advancing AI technology and are motivated by the opportunity to make a tangible impact on the future of artificial intelligence. Your problem-solving skills and analytical mindset enable you to tackle challenging projects with confidence.

Desirable

Experience with specialized hardware for AI applications is a plus, as is familiarity with the latest AI models and applications. A background in semiconductor technology or infrastructure at datacenter scale would also be beneficial.

What you'll do

As a Senior Machine Learning Engineer at Graphcore, you will contribute to the development and optimization of AI models tailored to our specialized hardware. You will work on large-scale systems where performance is critical, ensuring that our technology meets the demands of the fast-growing AI ecosystem.

You will collaborate with the Applied AI team to understand customer needs and translate them into innovative solutions. Your role will involve identifying opportunities for improvement and differentiation in Graphcore's technology, helping to shape the future of AI compute.

You will also engage in research and development activities, staying up-to-date with the latest advancements in AI and machine learning. Your contributions will directly impact the success of our projects and the overall direction of the company.

What we offer

At Graphcore, you will be part of a dynamic team of experts dedicated to pushing the boundaries of AI technology. We offer a flexible work environment and the opportunity to work on cutting-edge projects that have a real impact on the industry. You will have access to ongoing professional development and the chance to collaborate with some of the brightest minds in the field.

We believe in fostering a culture of innovation and inclusivity, where every team member has the opportunity to make a difference. Join us in building the future of AI compute and be part of a company that is shaping the landscape of artificial intelligence.

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