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Imagination Technologies Logo

2023 Placement - AI Engineering Research Engineer (3 or 6 months)

316a334

Kings Langley, England

Today

37239 - 58000 GBP ANNUAL

Imagination Technologies

Kings Langley, United Kingdom

Simon Beresford-Wylie

$100 to $500 million (USD)

Company - Private

1985


Job Description

Job no: 502182
Work type: Early Career
Location: Kings Langley UK
Categories: AI

The role

Join the AI Engineering Research team as a placement engineer, combining your strong technical knowledge and continuous learning to support the delivery of successful computer vision and machine learning related innovation.

Liaise with development engineers, marketing and external customers to identify research opportunities. You will be exposed to cutting edge hardware and software techniques.

The AI Engineering Research Team have a track record of success. Projects in the team focus on enabling high performance, state-of-the-art machine learning (e.g. CNN, DNN, RNN) and computer vision (e.g. object detection and recognition, SLAM) algorithms in low power environments. You will have a key role in helping to develop innovative products like the recently launched Series 4NX Neural Network Accelerator (https://www.imaginationtech.com/vision-ai/img-series4-nna/).

This can be either a 3 or a 6-month opportunity.

You will:

  • Support world leading research and development of computer vision and machine learning algorithms
  • Investigate improvements to existing algorithms and technologies
  • Implement simulations and demonstrations of new algorithms and technologies
  • Write technical reports
  • Work with, and be mentored by, a senior member of the AI Research Team.

About you

Committed to making your customers, stakeholders and colleagues successful, you’re an excellent communicator, listener and collaborator who builds trusted partnerships by delivering what you say, when you say. You’re curious, solutions orientated and a world-class problem solver who constantly seeks opportunities to innovate and achieve the best possible outcome to the highest imaginable standard.

You'll have:

  • Strong mathematical background (including e.g. linear algebra, probability theory, signal processing)
  • Currently studying at undergraduate, masters or PhD level (machine learning, computer vision or a related area)
  • A physics, engineering, applied mathematics, or a computer science background
  • Experience with Python or C/C++ development

You might also have:

  • Experience with at least one of the following tools: Tensorflow, caffe, pytorch, mxnet, keras, OpenCV
  • Practical experience of applying machine learning to real world problems

Who we are

At Imagination, we love innovating. We spend our time creating the graphics and AI chips that are at the core of your favourite electronic products, and we are expanding our IP portfolio to include RISC-V CPUs as part of our efforts to create the best Compute offering in the market. We have a no-compromise approach to making our technology as high performance and power-efficient as possible, all while being squeezed into the smallest space possible.

It’s this relentless drive to push the boundaries of what’s possible that has led to Imagination powering more than 10 billion of the world’s most iconic electronic devices, from smartphones to smart TVs, from drones to self-driving cars.

We need your skills to help us continue to deliver technology that will impress the industry and our customers alike, ensuring that people everywhere can enjoy smarter and faster tech than ever before.

So come join us if you're wanting that something more

Bring your talent, curiosity and expertise and we’ll help you do the rest. You’ll be part of one of the world’s most exciting companies who are one of the leaders in semiconductor IP solutions.

As a part of our team, you can help us transform, innovate, and inspire the lives of millions through our technology.

Additional information

If you encounter accessibility barriers in the application process or if you have access needs and require support or adjustments to participate equitably in the recruitment process, please email [email protected].

Advertised: 16 Feb 2023 GMT Standard Time
Applications close:

Apply now


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