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Machine Learning Engineer
3 months ago
Instead, we believe that machine learning algorithms learning from experience and data will allow our driver to be more intelligent and capable of easily adapting to new environments.
Our aim is to be the future of self-driving cars: the first to deploy in 100 cities across the world bringing autonomy to everyone, everywhere.
We are seeking an experienced Machine Learning Engineer to join our dynamic team.In this role, you will collaborate closely with our research team to develop, integrate, test, and scale cutting-edge algorithms, tools, and machine learning solutions for autonomous driving.
Design and implement end-to-end neural networks for autonomous driving applications.Work closely with the research team to rapidly prototype and iterate on novel machine learning models.
Optimize models for efficiency and performance, ensuring they can operate effectively in real-world autonomous driving scenarios.
Develop and maintain a robust machine learning infrastructure that accelerates the research and development cycle.
Ensure the maintenance of high-quality training data through the employment of advanced visualization and quantitative analysis techniques.
Effectively communicating data needs within the team to optimize project success and collaboration.
Collaborate with cross-functional teams to integrate machine learning solutions into our autonomous driving platform.
3+ years of postgraduate industry experience training and deploying large-scale models
~ Strong foundation in machine learning and deep learning
~ Ability to stay updated with the latest advancements in model efficiency and apply innovative solutions to enhance existing models or develop new efficient architectures
~ Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch, Scikit-learn, TensorRT, or similar tools for model development
~ PhD or MSc in Computer Science, Machine Learning, Robotics, or a related field
Competitive compensation and stock options
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.
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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