Job Description

Wayve is seeking a Senior Machine Learning Engineer with expertise in AI applied to autonomous driving or robotics. The role involves working on complex problems, leveraging real-world driving data, and architecting models using the latest advances in foundation models. The engineer will contribute to research across perception, prediction, planning, and control, and potentially contribute to academic publications.

Responsibilities

• Leveraging real-world driving data
• Architecting models using the latest advances in foundation models
• Selecting appropriate learning algorithms
• Utilizing simulation for experimental insight and training data augmentation
• Scaling models efficiently
• Contributing to academic publications

Requirements

• 7+ years of applied experience in AI research, computer vision, deep learning, reinforcement learning, or robotics
• Ability to deliver high-quality code and familiarity with deep learning frameworks (Python and Pytorch preferred)
• Experience leading a research agenda
• Industrial and/or academic experience in deep learning, software engineering, automotive, or robotics
• Experience working with training data, metrics, and visualization tools
• Ability to understand, author, and critique research papers
• Familiarity with code-reviewing, C++, Linux, and Git is a plus
• PhD in a relevant area and/or track record of delivering value through machine learning are a big plus

Benefits

• No benefits