Machine Learning Engineer

4 weeks ago

Mountain View CA, United States Wayve Technologies Ltd Full time

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.
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 Machine Learning Engineers 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 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
3 + years experience in shipping ML features and in applied research
~ 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
~ Experience in reporting and tracking over time benchmarked performance in an open and accessible way
~ Ability to write high quality, well-structured and tested Python code
~ Comfortable working with and visualising huge data sets + finding and removing examples of noisy or bad data
~ BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Benefits such as an lunch ordered in daily to the office, workplace nursery scheme, private health insurance, therapy, social budgets, L&D, enhanced parental leave, and more
This is a full-time role based in our office in Mountain View, but we support flexible working. 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.
We are proud to be an equal opportunities workplace, where we don’t just embrace diversity but nurture it - so that we all thrive and grow.
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