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Machine Learning Engineer

Machine Learning Engineer
Company: Aurrigo
Location: Coventry, UK
Hours: Full-time (38.75hrs/w)
Sector: Simulation

Employer summary
Aurrigo is a leading international authority on transport technology solutions.
Aurrigo design, build and deploy autonomous vehicles in the UK, Europe, Asia-Pacific and North America. This role will be based at Aurrigo’s headquarters in Coventry, UK within the Advanced Engineering Centre where you will be working alongside like-minded engineers to develop, test and deploy machine learning and computer vision systems to improve the safety and reliability of Aurrigo’s fleet.

What you will do
As a Machine Learning Engineer, you will:
• Develop state of the art computer vision solutions and work with members of the team to integrate these into existing vehicle and simulation codebases.
• Collect and prepare data for the purposes of training machine learning models.
• Write code in a clean and effective manner, with an eye to future scalability.
• Collaborate on roadmaps for developing new functionality which can be presented to the whole team.

What we require from you
• Master’s degree in Computer Science, Machine Learning or Artificial Intelligence. Other STEM subjects considered with relevant industry experience.
• A strong understanding of Machine Learning frameworks e.g. PyTorch or Tensorflow.
• Computer Vision fundamentals: camera calibration, depth perception
• Strong Python & data analytics skills

What we prefer from you
• History of working with object detection and pose estimation systems
• Experience with deploying ML models onto embedded devices
• Exposure to synthetic datasets
• Experience with any of the following: distributed training, cloud computing, remote monitoring, LibTorch
• C++ & Robot Operating System (ROS)
• An interest in aviation and autonomous overall

What skills we are looking for
• Strong analytical and problem-solving skills to build self-contained modules and to troubleshoot issues
• Strong interpersonal skills to communicate and engage with interested parties and project stakeholders at demonstrations
• A collaborative work ethic to drive solutions alongside the rest of the Machine Learning Team.
AU-UK-SIM-REC-03 1 20/09/2022

NEWS HOME INVESTORS JOIN THE TEAM email AURRIGO
UNIT 33 BILTON INDUSTRIAL ESTATE
HUMBER AVENUE, COVENTRY, CV3 1JL. UK
0044 (0)24 7663 5818
PRIVACY POLICY ANTI-SLAVERY AND HUMAN TRAFFICKING POLICY WHISTLEBLOWER POLICY AUTOMOTIVE AVIATION AUTONOMOUS TEAM CONTACT
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