Head of AI Research

powered dash cams enable new vision-based applications for safer driving. When drivers pair -powered dash cams with the app, they join a network that powers new applications for driving and seeing the world. Using anonymous, aggregated data captured from this network, has developed a portfolio of vision-based data services for public and private sector partners to make roadways safer and more efficient. For automotive companies, network and crowd-sourced vision technology are a gateway to a new era of connected services and new killer apps for drivers, from Real-time Mapping Applications for Automated Driving to 3D Scenario Reconstruction of Corner-Cases for Autonomous Vehicles Simulation and Validation.

Thats where you get into the picture. We are on a quest to scale our AI team with individuals who are not only brilliant and passionate but also driven by our mission to reshape the future of mobility. As an AI team lead, you will be at the forefront of this transformative journey, pushing the boundaries of AI and contributing significantly to our cutting-edge projects.

RESPONSIBILITIES
Team Leadership and Development: Guide and nurture a team of AI researchers to cultivate an environment enriched with innovation, collaboration, and outstanding performance.
AI Technology Deployment: Spearhead the swift development and deployment of AI technologies in agile settings, ensuring the on-time delivery of robust, production-grade software.
Excellence in AI Processes: Promote excellence in AI research and engineering processes from model creation and training to testing and deployment, emphasizing scalability, reliability, and effectiveness.
Cross-Team Collaboration: Engage actively with various teams to pinpoint business opportunities and tailor AI-driven solutions that align with customer demands.
Trend Monitoring and Innovation: Remain updated with the latest trends in AI, particularly in the realms of Computer Vision and Vision-Language models, and embed pioneering techniques into our offerings.
Data Utilisation: Transform extensive datasets into powerful, transformative AI applications with significant impacts.
Product Integration: Coordinate with engineering teams to seamlessly integrate AI research into commercial products.
Research Goal Alignment: Work intimately with product and business development teams to gather insights on user and business necessities and convert these into focused research goals.