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This listing was closed on Jul 17, 2026.
Browse Open JobsMachine Learning Engineer
Summary by AIEngineer.careers
Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Wayve. in 広域東京エリア, JP. Imported listing (source: jp.linkedin.com). Apply on the employer's site (jp.linkedin.com).
Imported listing (source: jp.linkedin.com) · Apply on jp.linkedin.com
広域東京エリア · JP
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jp.linkedin.com
Wayve is seeking a Machine Learning Engineer to lead development of end-to-end driving models for autonomous vehicles. You'll design ML-driven behaviors, build evaluation pipelines, and collaborate across teams. The role requires deep learning expertise and experience shipping production systems.
Responsibilities
- Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.
- Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.
- Build evaluation pipelines and metrics for closed-loop and open-loop driving performance and product readiness.
- Curate and mine real-world and synthetic data to drive scenario diversity and feature-specific development.
- Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.
- Collaborate cross-functionally across teams to ensure integration and iteration velocity.
- Mentor senior engineers and shape long-term technical direction across Autonomy.
Requirements
- Extensive and proven track record of shipping deep learning systems to production.
Wayve
Greater London · GB · 750+ employees
Wayve specializes in end-to-end embodied AI solutions for autonomous vehicles, aiming to provide safe and adaptable driving intelligence. Unlike traditional systems reliant on rigid mapping, its technology learns from real-world data and simulations to operate in complex environments.
