August 2
🏢 In-office - London
• We’re looking for bold, talented, and creative people to join our journey in developing next-generation autonomous vehicles. • We are looking for an experienced Tech Lead Manager to contribute technically while managing a small team. • This hybrid role combines hands-on technical contributions with leadership responsibilities. • You will work across our research team to build, integrate, test, and scale algorithms, tools, and machine learning solutions for autonomous driving.
• 7+ years of ML engineering / applied science experience in an industrial research environment • 2+ years of prior experience managing small research teams (5 people or more) • Experience in 3D computer vision and/or Autonomous Driving • Passion for working in a team on Machine Learning research ideas that have real-world impact • Experience driving a team and technical project through the full lifecycle, ideally within vision or multimodal space • Strong software engineering experience in Python • Experience working on machine learning algorithms and systems • A good grasp of machine learning literature • Comfortable working with large quantities of image and video data • Good insight into the practical aspects of training, validation, testing, and metrics for deep learning features/models • MS, PhD or above in Machine Learning, Computer Science, Engineering, or a related technical discipline, or equivalent experience • (Desirable) Proven track record of successfully delivering research projects and publications, • (Desirable) Experience working with robotics, self-driving, AR/VR, or LLMs
• A position to shape the future of autonomous driving, and thus to tackle one of the biggest challenges of our time • Immersion in a team of world-class researchers, engineers and entrepreneurs • Competitive compensation and stock options • On-site chef and bar, lots of fun socials, a workplace nursery scheme and more! • Help relocating/travelling to London, with visa sponsorship • Flexible working hours - we trust you to do your job well, at times that suit you and your team.
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