AI Engineer

Graphcore

Bristol, GB
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 04/16/2021
  • Website: graphcore.ai
  • Company Address: 228 Hamilton Avenue, Palo Alto, CA, 94301

About Graphcore

Graphcore has created a new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence.

Job Description



The use of machine learning to reimagine software applications and service development is exploding.  Companies from every corner of the industry -- the biggest cloud service providers to corporate industrials to financial services to healthcare to retailers -- are exploring new ways of building products and services using data-centric learning models in place of traditional explicit programming.  The drive to deliver more timely and more accurate results is compelling an ever greater need for specialized computing power. GPUs have been hailed as the solution to those computing needs but the industry is actively searching for a better, more efficient solution.  Graphcore has that solution.

Graphcore’s Intelligence Processing Units, or IPUs, are specifically designed for artificial intelligence and compute-dense graph applications.  These are not GPUs, Graphics Processing Units, but rather graph processors especially adept at the kinds of computations used in understanding relationships within a sea of data.  Architecturally, IPUs look  nothing like GPUs.  They offer performance, latency, and power efficiency advantages a GPU will be unable to match.  Graphcore offers support for popular industry ML frameworks and a full tool suite for developers to innovate both within and outside those frameworks.

As an AI Engineer, you will work to port and optimize machine learning and artificial intelligence applications using Graphcore’s Poplar™ software and IPU processors, enabling breakthroughs in this rapidly moving field.

You will work on AI and ML applications, create application notes and blog content, and work closely with Graphcore’s field teams, customers and partners to help them in understanding and getting the most from our Intelligence Processing Unit (IPU) technology. Having access to world leading compute resources, you will develop applications that push the boundaries of what is possible with machine learning today. You will act as a senior technical figure within our customer engineering organisation, investigating in-depth customer issues, analysing model performance and providing concise summaries and recommended fixes and enhancements to our core engineering teams. You will have the unique opportunity to translate customer needs into roadmap items and inform the future shape of Graphcore’s product offering.

In your work you will support some of the world’s top machine learning innovators at deep learning research groups, at academic institutions, at innovative machine learning start-ups, at leading automotive companies, and at some of the world’s largest cloud and internet companies. You will need to develop a deep understanding of the IPU architecture and the associated Poplar™ tools and become familiar with leading machine learning frameworks.

You will need to develop a deep understanding of the state-of-the-art in artificial intelligence & machine learning domains and work with our customers to develop new techniques which exploit the unique features of our IPU architecture.  We want you to become an industry thought leader on Graphcore technology and machine learning applications in the cloud, in automotive and in embedded applications. You should be interested and keen to present at industry conferences and will be able to back this up with written blogs and compelling content.

Responsibilities

    Develop strong technical relationships with researchers and engineers at our customers and partners and help them to develop new algorithms and achieve breakthroughs in artificial intelligence
    Become a recognized expert on Graphcore’s IPU technology and Poplar™ tools and deliver compelling training to our customers and partners
    Field & resolve challenging/complex customer support issues
    Shepherd critical customer issues and provide timely advance warning of critical issues that need attention
    Become a thought leader on machine learning and advocate for Graphcore’s IPU technology
    Work with the Product Management and Engineering to ensure a good flow of customer feedback that can be incorporated into future products

Requirements

    Deep experience with C++ and in-depth knowledge of computer architectures, high performance programming and parallel programming
    Ability to multitask effectively in a fast-paced environment
    Action-oriented with strong analytical and problem-solving skills
    Keen interest to learn about the exciting new field of AI
    Comfortable in a customer-facing environment
    Strong written and oral communications skills with the ability to effectively interface with management and engineering
    Strong team-working and excellent interpersonal skills

Differentiators

    Masters or PhD in related computationally intensive science or engineering field
    Experience with programming in Python
    Experience with C/C++, parallel programming and knowledge of computer architectures
    Solid experience of either machine learning development experience or related experience writing and optimizing applications in HPC, scientific libraries, compilers, digital signal processors or GPUs
    Experience working with modern deep learning software architectures and frameworks, particularly PyTorch or TensorFlow
    Excellent communication & presentations skills and comfortable in a customer-facing environment
    Experience working with accelerators such as GPUs, DSPs or FPGAs
    Experience in the AI/machine learning, cloud or automotive space

Benefits

In addition to a competitive salary, we also offer a generous pension scheme and to support your well-being we provide health insurance, life cover and an employee assistance programme.

Our centrally located Bristol office provides a well-stocked kitchen with healthy food, drinks and snacks and our very own barista! We have an active social scene too - from cycling, yoga, running and football right through to a board game group.

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful. If you have a disability or additional need that requires accommodation, just let us know.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.