Machine Learning Engineer

Wayvesenior

En corto

→Desarrollas modelos de IA autónoma para vehículos sin mapas, enfocándote en conducta y personalización.
→Trabajas en todo el ciclo: desde entrenamiento y evaluación hasta despliegue en vehículos en tiempo real.
→Destaca que lideras proyectos técnicos con impacto directo en conducta autónoma y colaboración entre vehículos.

Fluent English required

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¿Qué piden?

✓Experiencia comprobada desplegando sistemas de aprendizaje profundo en producción.
✓Experto en aprendizaje profundo, especialmente modelos secuenciales, control, planificación o percepción.
✓Dominio de Python, C++ y CUDA, y experiencia con PyTorch.
✓Experiencia con sistemas en tiempo real o robótica, idealmente con simulación o vehículos en el bucle.
✓Capacidad para liderar iniciativas técnicas y mentorar ingenieros senior.
✓Capacidad de trabajo colaborativo en entornos multidisciplinarios.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonC++CUDAPyTorchDeep LearningSequential ModelsControlPlanningPerceptionSimulation

¿A quién escribirle en Wayve?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The Role 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. Key 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 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. About You 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. This is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we opera

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