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Home›Jobs›Graphcore›Senior Machine Learning Engineer (Large Systems)
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

Senior Machine Learning Engineer (Large Systems)

Graphcore • Cambridge, UK

Posted 2w agoSeniorMachine learning engineer📍 Cambridge
Apply Now →

Skills & Technologies

PythonTensorFlowPyTorchKeras

Overview

Graphcore is seeking a Senior Machine Learning Engineer to develop and optimize AI models for their specialized hardware. You'll work on large-scale systems and collaborate closely with software development and research teams. This role requires strong technical skills in AI model implementation.

Job Description

Who you are

You have 5+ years of experience in machine learning engineering, with a strong focus on developing and optimizing AI models for large-scale systems. Your technical expertise includes proficiency in Python and popular machine learning frameworks such as TensorFlow and PyTorch. You understand the intricacies of AI model implementation 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 seamless integration of AI technology with hardware. You are passionate about making a tangible impact in the AI ecosystem and are committed to continuous learning and improvement.

Desirable

Experience with Keras and familiarity with the latest AI models and applications will be advantageous. A background in semiconductor technology or infrastructure at datacenter scale is a plus, as it aligns with Graphcore's mission to build the future of AI compute.

What you'll do

As a Senior Machine Learning Engineer at Graphcore, you will play a critical role in advancing AI technology by developing and optimizing AI models tailored to our specialized hardware. You will work on large-scale systems where performance is crucial to the success of our projects. Your responsibilities will include collaborating with the Applied AI team to understand customer needs and ensure that Graphcore's technology works seamlessly within the AI ecosystem. You will identify opportunities for innovation and differentiation, contributing to the overall strategy of the company. You will also engage in performance tuning and optimization of AI models, ensuring they meet the demands of high-performance computing environments.

What we offer

At Graphcore, we provide a dynamic work environment where you can collaborate with some of the brightest minds in the industry. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will be part of a team that is at the forefront of AI technology, working on projects that have a significant impact on the future of artificial intelligence. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

Interested in this role?

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