AI Engineer

  • Graphcore
  • London, UK
  • 08/03/2021
Full time Data Science Data Engineering Data Analytics Artificial Intelligence Data Management Statistics

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 environmentw
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.

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.