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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 • Bristol, UK

Posted 3w agoSeniorMachine learning engineer📍 Bristol
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 background in developing and optimizing AI 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 the field of artificial intelligence. You thrive in collaborative environments, working closely with software developers and researchers to ensure seamless integration of AI technologies. Your problem-solving skills enable you to tackle challenging issues and contribute to the advancement of AI technology. You are passionate about making a tangible impact in a rapidly evolving industry and are excited about the opportunity to work with cutting-edge hardware.

What you'll do

As a Senior Machine Learning Engineer at Graphcore, you will be responsible for developing and optimizing 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 AI ecosystem. Collaborating with the software development and research teams, you will identify opportunities for innovation and differentiation in our products. Your role will involve implementing AI models, conducting experiments, and analyzing results to drive improvements. You will also contribute to the design and architecture of AI solutions, ensuring they are scalable and efficient. Your insights will help shape the future of AI compute, and you will have the opportunity to mentor junior engineers, sharing your knowledge and expertise. You will be part of a dynamic team that is dedicated to pushing the boundaries of AI technology and making a significant impact in the industry.

What we offer

At Graphcore, we provide a collaborative and inclusive work environment where you can thrive. You will have the opportunity to work with some of the brightest minds in the industry and contribute to groundbreaking technology. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Our commitment to innovation means you will be at the forefront of AI advancements, working on projects that have the potential to change the landscape of artificial intelligence. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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