Senior Applied Scientist - SLAM

Job Description:

WHO ARE WE?

Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning, computer vision and reinforcement learning. Leveraging our multi-national world-class team of researchers and engineers we’re focusing on using less data to learn more intelligent algorithms to bring autonomy for everyone, everywhere. We aim to be the future of self-driving cars, learning from experience and data.

WHERE YOU’LL HAVE IMPACT

We’re looking for adventurous and talented researchers and engineers to join our deep robotics team in building the next-generation of autonomous vehicles. You'll design and implement algorithms using large datasets and a fleet of real-world autonomous vehicles, solving some of the hardest problems in visual inertial odometry, structure from motion, and online calibration. This is an opportunity to have a significant impact on the technology we're building at Wayve.

WHAT YOU’LL BRING TO WAYVE

Essential:

• Experience developing SLAM, visual odometry, structure from motion or calibration algorithms in a robotics, AR/VR or related field.
• Experience building and deploying robotics algorithms in the real world. Modern C++
• Computer science fundamentals - data structures, algorithm design, etc PhD or MSc in robotics, computer science, engineering or related field
• 3+ years applied experience in industry, or relevant postdoc.

Desirable:

• Technical leadership experience, e.g. where you led a project, team, feature development or trial
• Experience with modern ML techniques is a plus, but not a requirement for this role.

OUR OFFER

• Competitive compensation with salary and equity
• Immersion in a team of world-class researchers, engineers and entrepreneurs
• A position to shape the future of autonomous driving and to tackle the biggest challenges of our time
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!
• This is a full-time role based in our office in King’s Cross, but we support flexible working, including working for up to 2 weeks from anywhere in the world. We trust you to know - what works best for your team and projects and ask that you have a healthy presence that enables the right meetings to happen in person and strong relationships to be built.