Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
WayveThe Application Engineering (App SW) team sits within Product & Delivery and works on critical initiatives that push the frontier of model-based autonomous driving. That covers core driving performance as well as feature-level intelligence such as personalisation, comfort and collaboration. As an ML Engineer, you’ll design and deliver ML-driven behaviours that scale from assisted to autonomous driving. Your work spans model architecture, data pipelines, evaluation frameworks and real-world deployment. You’ll work closely with the AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable and ready for production. You’ll develop and improve end-to-end driving models with state-of-the-art performance, robustness and generalisation; drive projects on personalised and collaborative driving, including behaviour 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, coverage and feature-specific development; influence architecture choices, training methodologies and deployment pathways for production-scale learning systems; collaborate across teams to keep integration smooth and iteration fast; and mentor engineers while helping shape the long-term technical direction across Autonomy.
- 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.
- 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.
- Salaries benchmarked against the market annually. - Meaningful equity, sharing in the ownership and long term success of Wayve. - Relocation support and visa sponsorship where applicable. - Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs. - Learning and development budgets with support for training, conferences and growth. - Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more.
