Staff Machine Learning Engineer, Vision Models

# Staff Machine Learning Engineer, Vision Models## Wayve Published 17 Jul 2026### Share this job Sunnyvale, CA, USA
370K - 407K USD Annual Full Time## Role Highlights### Languages used Python### Key skills

Deep Learning Machine Learning Computer Vision Model Distillation Technical Leadershipfoundation modelAIData Modelling Multimodal3 DPerception Robotics Deployment Infrastructure ### Tools, Libraries and FrameworksLOOPPyTorch## Description The role involves building computer vision and scene understanding models to measure the performance of automated driving systems. The engineer will adapt on-vehicle and foundation models for offline use to assess driving behavior and coverage. Responsibilities include defining ground truth criteria, creating automated benchmarks, and ensuring results are statistically defensible for validation pipelines.

The position requires diagnosing model failure modes and improving performance across various vehicle platforms and conditions. The work involves collaborating with cross-functional teams to inform model development decisions and customer deliverables.##

Required Qualifications and Skills The role requires at least five years of experience in machine learning engineering, specifically in training and shipping deep learning models in production. Candidates must possess hands-on experience with computer vision models, including transformer-based and multimodal architectures, as well as proficiency in Python and PyTorch. Experience in fine-tuning foundation models and training shared representations is essential. Furthermore, the position demands staff-level technical leadership capabilities and the ability to define and interpret performance metrics for model evaluation.##

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