Machine Learning Engineer- Cloud Deployment

Found in: Jooble CA O C2 - 1 week ago


Canada 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 team of researchers and engineers, we’re using 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.
We are seeking an experienced Machine Learning Engineer to join our foundational Vancouver office. In this role, you will collaborate closely in our research team to develop, integrate, test, and scale cutting-edge algorithms, tools, and machine learning solutions for autonomous driving. You'll be a key technical contributor within our diverse, cross-disciplinary team, helping teach our robots how to drive safely and comfortably in complex real-world environments. This encompasses many aspects of engineering and optimization across perception, prediction, planning, and control, including:
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
~ Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch, Scikit-learn, TensorRT, or similar tools for model development
~ Advanced knowledge of model compression, quantisation, distillation, parallelism and/or pruning techniques to reduce model size and improve efficiency
PhD or MSc in Computer Science, Machine Learning, Robotics, or a related field
Daily lunches, team socials, funded club/society activities and company-wide learning and development
Help relocating to Vancouver, with potential for visa sponsorship
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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