Lead Machine Learning Engineer

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. They are seeking a Lead Machine Learning Engineer to enhance their Machine Learning capabilities in a commercial large-scale environment.

Responsibilities:

• Design, train and evaluate state of the art models for May’s autonomous driving, simulation and ML Platform stack
• Leverage emerging techniques in the End-to-End driving, Vision Language Action (VLA), World or Foundation model domains to solve commercial-scale problems
• Lead small teams of cross functional Engineers beyond the state of the art
• Define data balance, training experiment and evaluation practices to train efficiently at petabyte scale

Requirements:

• Extensive practical experience in one of the following domains: Vision Language Action Models, Generative World Models, Foundation Models in Robotics, Data Centric AI
• A minimum of 4 years of industry experience working on commercial robotics systems
• A minimum of 1 year mentoring ML Engineers in a commercial or lab environment
• Master's degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation
• Practical experience handling the 'Long Tail' problem in Machine Learning
• Strong programming skills in Python/PyTorch in a Linux environment
• Functional understanding of LiDAR, Camera and Radar processing techniques
• PhD and/or published research in the described specialty domains
• Familiar with common post-training techniques
• Experience deploying models to resource constrained and edge hardware
• Functional understanding of C/C++/CUDA memory and threading models