Staff Applied Scientist
2 days ago
🏢 In-office - Vancouver
Description
• Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. • Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly. • Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible. • Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale • We are seeking an experienced researcher to be a founding member of our Vancouver team!
Requirements
• Proven track record of research in one or more of the topics above demonstrated through deployed applications or publications. • Experience leading a research agenda aligned with larger organisation or company goals • Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch, numpy, pandas, etc. • Experience bringing a machine learning research concept through the full ML development cycle • Excellent problem-solving skills and the ability to work independently as well as in a team environment. • Demonstrated ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment. • Experience bringing an ML research concept through to production and at scale • PhD in Computer Science, Computer Engineering, or a related field
Benefits
• The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. • Competitive compensation and benefits • A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too • A culture that is ego-free, respectful and welcoming • A hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
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