Staff Machine Learning Engineer
April 12
🏢 In-office - Vancouver
Description
• You'll be working on some of the world's hardest problems, and able to attack them in new ways. You'll be a technical leader 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 and related technologies for autonomous driving applications. - Work closely in our 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 tools and infrastructure that accelerates the research and development cycle. - Build metrics and dashboards that give us insight into progress and focus us on solving the right problems. - Continuously evaluate emerging technologies and methodologies to drive innovation within the team. - Leverage an analytical approach that encompasses both qualitative and quantitative aspects to deliver results and insights. - Ensure the maintenance of high-quality training data through the employment of advanced visualization and quantitative analysis techniques. - Effectively communicate 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. - Contribute to the creation of a collaborative and innovative engineering culture.
Requirements
• 5+ years of postgraduate industry experience training and deploying large-scale models on distributed systems • Strong foundation in machine learning and deep learning • Experience leading a technical/research agenda aligned with larger organisation or company goals • Experience bringing research concepts through the full ML development cycle and into production • Experience working in a metrics and data-driven environment • 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 • Strong teamwork and communication skills to collaborate effectively with cross-functional teams including engineers, researchers, and product managers. • Advanced knowledge of model compression, quantisation, distillation, parallelism and/or pruning techniques to reduce model size and improve efficiency • Understanding of hardware-specific optimizations for inference, such as optimizing models for GPUs, TPUs, or edge devices. • PhD or MSc in Computer Science, Machine Learning, Robotics, or a related field
Benefits
• A position to shape the future of autonomous driving and embodied AI, and thus to tackle one of the biggest challenges of our time • Immersion in a team of world-class researchers, engineers and entrepreneurs • Competitive compensation and share options • Daily lunches, team socials, funded club/society activities and company-wide learning and development • Help relocating to Vancouver, with potential for visa sponsorship
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