Machine Learning Engineer Lead

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 research team 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, not vehicles that are told how to drive through hand-coded rules and maps, but ones which learn from experience and data.

Where you'll have an impact

We’re looking for bold, talented and creative people to join our journey in developing next-generation autonomous vehicles. We’re a growing start-up, building our first cohort of engineers and you can be at the heart of this!

We are looking for Senior ML Engineer Lead to help productionize an end-to-end self driving neural network for autonomous driving. You’ll be working closely with Platform and Research teams to build, integrate, test and scale ML features for production. Productionizing and scaling our ML models by working across Data, Validation, Platform and Research is a core component of this role and why we need you!

What you'll bring to Wayve

• Experience in shipping ML features and in applied research
• Passion to take research ideas to production
• Good grasp of machine learning literature
• Experience in working in platform teams and working with research teams
• Good insight into the training, validation, testing and metrics for deep learning features/models
• Ability to write high quality, well-structured and tested Python code
• Solid experience working with concurrent, parallel and distributed computing
• Comfortable working with and visualising huge data sets
• Knowledge of computing fundamentals - what makes code fast, secure, reliable and scalable
• BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

What we 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.