Senior Machine Learning Engineer, AI Performance - Wayve is a Machine Learning Engineer role (full-time). with Wayve. in GREATER LONDON, GB. Imported listing (source: underprompt.com). Apply on the employer's site (underprompt.com).
Imported listing (source: underprompt.com) · Apply on underprompt.com
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Imported job description
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Wayve is seeking a Senior Machine Learning Engineer to join a high-ownership team delivering production-ready model releases for embodied AI in autonomous driving. This applied role focuses on taking models from training to deployment on-vehicle, optimizing performance under tight runtime constraints, and collaborating with inference/performance teams.
Responsibilities
Own end-to-end delivery of model releases, from requirements through training, evaluation, iteration, and deployment readiness.
Train and iterate on PyTorch models using hypothesis-driven experimentation and clear evaluation criteria.
Debug and improve model performance by identifying regressions, root-causing issues, and proposing fixes.
Apply optimisation techniques like quantisation and distillation where beneficial, understanding trade-offs.
Collaborate with ML and performance engineering teams to define bottlenecks and align on optimisation priorities.
Communicate with stakeholders to align on delivery timelines, trade-offs, and readiness criteria.
Requirements
Proven experience improving performance in production systems with tight constraints (latency, memory, bandwidth, power/thermal, or cost).
Wayve is a pioneer in embodied AI for autonomous driving, utilizing an end-to-end learning approach to create vehicle-agnostic software. The company aims to provide general-purpose driving intelligence that can be integrated into various vehicles and geographies.