James Gunn
Research Engineer
Biography
Hi 👋, I’m James.
I’m a Senior Machine Learning Engineer at Waymo in London, developing realistic and controllable simulation agents to ensure the Waymo Driver is safe and reliable.
Previously I was a Lead Research Engineer at FiveAI, an autonomous vehicle startup acquired by Bosch in 2022. For over six years I developed algorithms and models across the autonomous vehicle stack. I was also privileged to lead teams working on localisation and surrogate modelling of perception systems.
I’m most proud of my work to improve the accuracy of multimodal fusion algorithms for object detection, published as Lift-Attend-Splat at the CVPR 2024 Workshop on Autonomous Driving.
Drop me a message at [email protected].
- Artificial Intelligence
- Machine Learning
- Computer Vision
- Robotics
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University of Cambridge, 2016
MSci in Natural Sciences (First Class)
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Watford Grammar School for Boys, 2012
A* in Maths, Further Maths, Physics, Chemistry
Experience
- Training realistic and controllable machine learning models of other road users
- Designed, built and published a novel multimodal fusion model for object detection using transformers
- Led a team of five research engineers creating surrogate models of perception systems
- Responsible for on-vehicle localisation during FiveAI’s public road trials, leading a team of four engineers
- Designed and built the sensor fusion module for real time localisation of FiveAI’s self-driving fleet
- Cut my team’s cloud training costs in half by implementing fault tolerance on spot instances
- Implemented bespoke optimisation algorithms for delivery route planning and human resource allocation
- Developed and pitched software prototypes to prospective clients
- Year 4 (Theoretical Physics): Gauge Field Theory, Quantum Condensed Matter Field Theory, Non-Linear Optics, Relativistic Astrophysics, Quantum Information
- Year 3 (Theoretical Physics): Quantum Condensed Matter, Astrophysical Fluid Dynamics, General Relativity
- Year 2: Modern and Classical Physics
- Year 1: Physics, Mathematics, Computer Science, Chemistry
