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# Machine Learning Engineer

- **Company:** Wayve
- **Location:** Leonberg, Germany (Remote available)
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Nvidia CUDA, Learning Management Systems, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Real Time Systems, Pytorch, Multi-Agent Systems, Deep Learning, AI Platforms, Build Tools, Machine Learning Operations, Data Pipelines
- **Published:** July 25, 2026
- **Apply:** https://www.adzuna.de/details/5813675745

## About the Role

In order to set you up for success as a Machine Learning Engineer at Wayve, we're looking for the following skills and experience.

Essential

 * Extensive and proven track record of shipping deep learning systems to production.
 * Expert in deep learning (esp. sequential models, control, planning, or perception).
 * Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.
 * Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.
 * Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.

Desirable

 * Prior work in autonomous driving, imitation learning, or trajectory prediction.
 * Familiarity with personalization, human behavior modeling, or driver intent inference.
 * Experience integrating ML systems into production hardware or multi-agent simulation.

## Description

As an ML Engineer within the Application Engineering team, you'll lead critical initiatives that push the frontier of model-based autonomous driving-both in terms of core driving performance and feature-level intelligence such as personalisation, comfort, and collaboration.

You'll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You'll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production., * 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 both closed-loop and open-loop driving performance and product readiness.
 * Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
 * Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.
 * Collaborate cross-functionally across various teams to ensure integration and iteration velocity.
 * Mentor senior engineers and shape the long-term technical direction across Autonomy.


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