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Machine Learning Engineer, Application Software

wayveTokyo, JapanProduct & Delivery
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Salary
Not listed
Job type
Full-time
Experience
Senior
Posted
5 Oct 2026
Status
Open · checked 7d ago

About this role

Wayve is hiring a Machine Learning Engineer, Application Software in Tokyo, Japan, to design and deliver machine learning behaviors for autonomous driving systems. This opportunity suits experienced engineers who want to build production-scale learning systems and shape technical direction in the autonomous vehicle industry.

Role Overview

Wayve is seeking a Machine Learning Engineer for the Application Software team within Product and Delivery in Tokyo, Japan. The role focuses on pushing the frontier of model-based autonomous driving, covering core driving performance, feature-level intelligence, personalization, comfort, and collaboration. The position involves working across model architecture, data pipelines, evaluation frameworks, and real-world deployment alongside AI Platform, Simulation, Robot Software, and Model Release teams.

Key Responsibilities

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.
Mentor engineers and help shape the long-term technical direction across Autonomy.

Requirements

Extensive and proven track record of shipping deep learning systems to production.
Expert in deep learning, especially sequential models, control, planning, or perception.
Proficient in Python, C++, CUDA, and 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.

Nice to Have

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.

Skills and Tools

Python
C++
CUDA
PyTorch
Deep Learning
Sequential Models
Control Systems
Planning
Perception
Robotics

Salary and Benefits

Salaries benchmarked against the market annually
Meaningful equity sharing in the ownership and long-term success of the company
Relocation support and visa sponsorship where applicable
Hybrid working model with core hours and access to vehicle workshops and labs
Learning and development budgets for training, conferences, and growth
Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension, access to therapists, wellbeing partnerships, and team socials

About the Company

Wayve builds an embodied AI platform for autonomous driving that enables vehicles to learn directly from real-world experience. The mapless and hardware-agnostic AI platform integrates with global original equipment manufacturer partners to provide continuous software evolution across automation levels from L2+ to L4. Wayve operates main hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

PythonC++CUDAPyTorchDeep Learning

Questions candidates ask

What team will I be working in?

You will be working in the Application Software team, which sits within Product and Delivery.

What programming languages and frameworks are required?

Proficiency in Python, C++, CUDA, and PyTorch is required, along with a solid foundation in software engineering practices.

Is visa sponsorship available for this role?

Yes, relocation support and visa sponsorship are provided where applicable.

What does the interview process look like?

The process includes an initial recruiter screen (30 minutes), competency interviews focused on Python programming and PyTorch debugging (2 hours total), deep-dive technical system design interviews (1 hour total), and a final interview covering values alignment and applied ML (1 hour).

What is the working model at Wayve?

Wayve operates a hybrid working model combining in-person collaboration in office spaces with focused remote work.

Ready to apply?

The application is on the official wayve careers page.

Apply on company site