Machine Learning Engineer, Wayve

• The ideal candidate will have deep technical experience in large scale deep learning, multimodal data pipelines and curation, and a passion for efficiency, engineering excellence and evaluation
• If you're excited to innovate in Foundation Models and the autonomous driving space, please get in touch!
• 3+ years experience shipping AI and ML features in production environments
• Strong programming skills in Python, including experience with deep learning frameworks such as PyTorch, Numpy, Pandas etc
• Solid understanding of training, validation, and testing methodologies for deep learning models
• Experience in designing efficient large-scale machine learning systems, including data/model parallelism techniques, model optimization and quantization
• Commitment to excellence in data engineering, with an appreciation for quality, curation, large scale datasets and scaling laws
• Passion to take research ideas to production

Desirable

• We are looking for a Machine Learning Engineer to drive the development and productionization of end-to-end neural networks for autonomous driving
• In this role, you will collaborate closely with Production and Research teams to develop, test, scale, and deploy cutting-edge ML models