Where you will have an impact We are seeking an experienced Machine Learning Engineer to join our foundational Vancouver office and help lead engineering efforts within our Science team. 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. Your work will directly contribute to enhancing the efficacy and efficiency of our models, and our iteration speed, bringing innovative research ideas to life faster than ever before.Challenges you will own 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:Designing and implementing end-to-end neural networks and related technologies for autonomous driving applicationsWorking closely in our research team to rapidly prototype and iterate on novel machine learning modelsOptimizing models for efficiency and performance, ensuring they can operate effectively in real‑world autonomous driving scenariosDeveloping and maintaining robust machine learning tools as well as infrastructure that accelerates the research and development cycleBuilding metrics and dashboards that give us insight into progress and focus us on solving the right problemsContinuously evaluating emerging technologies and methodologies to drive innovation within the teamLeveraging an analytical approach that encompasses both qualitative and quantitative aspects to deliver results and insightsEnsuring the maintenance of high‑quality training data through the employment of advanced visualization and quantitative analysis techniquesEffectively communicating data needs within the team to optimize project success and collaborationCollaborating with cross‑functional teams to integrate machine learning solutions into our autonomous driving platformContributing to the creation of a collaborative and innovative engineering culture.What you will bring to Wayve Essential 5+ years of postgraduate industry experience training and deploying large‑scale models on distributed systemsStrong foundation in machine learning and deep learningExperience leading a technical/research agenda aligned with larger organisation or company goalsExperience bringing research concepts through the full ML development cycle and into productionExperience working in a metrics and data driven environmentAbility to stay updated with the latest advancements in model efficiency and apply innovative solutions to enhance existing models or develop new efficient architecturesStrong programming skills in Python, with experience in deep learning frameworks such as Py Torch, Scikit‑learn, Tensor RT,



or similar tools for model developmentStrong teamwork and communication skills to collaborate effectively with cross‑functional teams including engineers, researchers, and product managersDesirable Advanced knowledge of model compression, quantisation, distillation, parallelism and/or pruning techniques to reduce model size and improve efficiencyUnderstanding of hardware‑specific optimizations for inference, such as optimizing models for GPUs, TPUs, or edge devices.Ph D or MSc in Computer Science, Machine Learning, Robotics, or a related fieldWhat we offer you The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impactCompetitive compensation and benefitsA dynamic and fast‑paced work setting in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities tooA culture that is ego‑free, respectful and welcomingA hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them#J-18808-Ljbffr

📌 Staff Machine Learning Engineer (Vancouver)
🏢 Wayve
📍 Vancouver