Machine Learning Engineer, Inference Optimisation

ML Compression Engineer - Inference Optimisation at Wayve. The role focuses on optimising the Driving Model to run efficiently in millions of vehicles using consumer-grade GPUs and accelerators. The team targets running large transformer-based models efficiently on low-cost, low-power edge devices to enable Wayve’s first driving product, using methods such as distillation, efficient architectures, pruning, quantisation and other techniques. This is an opportunity to own and lead high-impact, early-stage projects at Wayve with the goal of enabling product deployments on millions of customer vehicles around the world.

• Develop state of the art techniques in distillation, quantisation, pruning and other ML compression methods to achieve latency, bandwidth and compute targets
• Understand how ML compression methods affect driving behaviour
• Stay up to date with latest papers, conferences etc
• Collaborate closely with other model developers and scientists across the business to drive innovation and delivery
• You’ll have the opportunity to develop new skills and experience

Essential

• 2+ years working as an MLE
• Experience working on optimisation problems with hard latency and/or resource constraints
• Strong engineering background
• Proficiency with PyTorch
• Excellent interpersonal and communication skills

Desirable

• Experience with ML on edge, e.g. automotive, drones, AR/VR, IoT, etc
• Experience with any of the following: quantisation, distillation, pruning, sparsity methods, NAS, efficient architectures, etc
• Experience with Nvidia and Qualcomm SoCs and frameworks are valuable, but not required

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

Disclaimer: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Software Development

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