Graduate Deep Learning Research Engineer - 12 month Fixed Term Contract

The Computer Vision Department is responsible for developing custom-built state-of-the-art algorithms intrinsically designed to leverage the full power of today's most advanced multi-core automotive embedded platforms. Computer vision functions including 3D object detection, pedestrian and vehicle classification, trajectory mapping, online calibration, lens soiling detection, collision mitigation, lane and park-slot detection, and much more feed into a detailed map of the vehicle's environment via advanced sensor fusion. The department apply state of the art computer vision techniques to the automotive domain; object detection, classification, structure-from-motion, localisation & mapping, and machine & deep learning. The team specialises in redefining state-of-the-art computer vision and delivering next-generation advanced driver-assistance and automated driving systems for leading European, American and Asian OEMs.

Position Overview

As a deep learning engineer, you will be responsible for the development of deep learning solutions enabling the next generation Automated Driving Platforms. Deep learning will be applied to classify all objects, road markings and surfaces  in the vehicle environment.  You will be responsible for the development of state of the art DL algorithms providing unprecedented scene understanding. You will be expected to remain abreast of technological developments in the rapidly expanding field of deep learning and its application in automotive. 

Responsibilities

• Deep Learning network development and training

• Select appropriate datasets and data representation methods

• Work with data engineers and analysts to ensure optimal data acquisition, data integrity and data pipelines

• Perform statistical analysis and fine-tuning using test results

• Develop and maintain a relationship with university counterparts.
   

Required Skills/Experience

• BSc degree, or MSc degree, or PhD in any area with a focus on deep learning.

• Understanding of fundamental computer vision algorithms and approaches, with a focus on machine learning.

• Excellent English language communication skills, both written and verbal.

• High level of innovation and motivation

Desired Attributes

• Academic publications in relevant field 

• Understanding of data structures, data modeling and software architecture

• Proficiency with Python,  machine learning frameworks (Keras or PyTorch) and libraries (like scikit-learn)

• Proficiency with OpenCV

• Familiarity with Linux

• Excellent communication skills

• Ability to work in a team

• Outstanding analytical and problem-solving skills

• Experience developing software for embedded platforms.

• Experience with version control software

• Experience with imaging or optics systems.