ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.

Features

Auto Apply Resume Optimizer Cover Letter Optimizer Interview Prep

Company

Social Media

Need Help?

team@applyblast.com

ML Optimisation Engineer at Wayve - ApplyBlast

ML Optimisation Engineer

Wayve

18 days ago

4.4 on Glassdoor

London, England, United Kingdom

Hybrid

Full Time

Senior

0 applicants

View Job Listing

Apply to 100+ jobs

About this role

This role focuses on delivering production-ready AI models for autonomous driving by optimizing performance to meet strict on-vehicle constraints. The position involves training and iterating on PyTorch models, applying optimization techniques like quantization and distillation, and collaborating with engineering teams to ensure reliable deployment. The ideal candidate will have strong experience in deep learning and a proven track record of improving performance in production systems with tight latency and memory requirements.

Responsibilities

Own end-to-end delivery of model releases from training to deployment readiness
Train and iterate on PyTorch models using hypothesis-driven approaches and ablations
Apply optimization techniques like quantization and distillation to meet runtime constraints

Skills

About Wayve

wayve.ai

Headquarters

London, England, United Kingdom

Company Size

201-500 employees

Founded

2017

View Profile

Wayve is a UK-founded autonomous driving company developing "embodied AI" — end-to-end learning systems that enable vehicles to perceive, reason and act in complex, dynamic environments. Their camera-first, data-driven approach trains neural policies from real-world driving and simulation to scale capability across locations and vehicle platforms rather than relying on hand-engineered, map-heavy rules. Wayve builds software for both advanced driver assistance and full automated-driving applications, emphasizing adaptability and continual learning. They work with OEMs and fleet partners to commercialize scalable autonomy for real-world deployment.