Autonomous Driving ML Engineer — End-to-End Models, Hybrid Role

Engg; Sunnyvale (CA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Hybrid working model

Job summary

Wayve is building the leading AI platform for autonomous driving. We seek a Machine Learning Engineer to design and deliver ML-driven behaviours for assisted and autonomous driving, spanning model architecture, data pipelines, and production deployment.

You’ll collaborate with AI Platform, Simulation, Robot Software, and Model Release teams to shape long-term direction and deliver systems that scale safely in real-world environments.

Qualifications

• Extensive track record of shipping deep learning systems to production.
• Strong expertise in deep learning, sequential models, control, planning or perception.

Responsibilities

• Develop and improve end-to-end driving models focusing on performance and robustness.
• Lead technical initiatives in personalised and collaborative driving, aligning with user preferences.
• Build evaluation pipelines and metrics for open-loop and closed-loop driving.
• Collaborate across teams to integrate models and support real-world deployment.

Skills

Deep learning

Sequential models

Software engineering

Python

C++

Tools

PyTorch

CUDA

TensorFlow

Job description

Wayve is building the leading AI platform for autonomous driving. We seek a Machine Learning Engineer to design and deliver ML-driven behaviours for assisted and autonomous driving, spanning model architecture, data pipelines, and production deployment.

You’ll collaborate with AI Platform, Simulation, Robot Software, and Model Release teams to shape long-term direction and deliver systems that scale safely in real-world environments.