Autonomous Driving ML Engineer – Application Systems

Wayve; Sunnyvale (CA); On-site; USD 283,500 - 381,600; Full time

Job summary

Wayve is seeking a Machine Learning Engineer to lead initiatives in model-based autonomous driving. This role involves designing ML-driven behaviors and collaborating with various teams to ensure production readiness. The ideal candidate has extensive experience in deep learning and proficiency in Python.

This full-time position offers a hybrid work model based in Sunnyvale, with a salary range of $283,500 to $381,600 plus equity package.

Wayve values diversity and inclusion, encouraging applications from individuals with varied backgrounds.

Qualifications

• Extensive track record of shipping deep learning systems to production.
• Expert in deep learning, especially in sequential models and planning.
• Proficient in Python and relevant languages with solid software engineering practices.
• Experience with real-time systems or robotics.

Responsibilities

• Develop and improve end-to-end driving models with state-of-the-art performance.
• Lead projects on personalized and collaborative driving.
• Build evaluation pipelines for driving performance and product readiness.
• Influence architecture choices and training methodologies.
• Mentor senior engineers and shape long-term technical direction.

Skills

Deep learning

Python

C++

CUDA

ML frameworks (PyTorch)

Real-time systems

Job description

Wayve is seeking a Machine Learning Engineer to lead initiatives in model-based autonomous driving. This role involves designing ML-driven behaviors and collaborating with various teams to ensure production readiness. The ideal candidate has extensive experience in deep learning and proficiency in Python.

This full-time position offers a hybrid work model based in Sunnyvale, with a salary range of $283,500 to $381,600 plus equity package.

Wayve values diversity and inclusion, encouraging applications from individuals with varied backgrounds.