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Senior Machine Learning Engineer, Vision Models
Posted 1 day ago
Job summary
The role involves developing and refining offline scene understanding models for autonomous vehicles, using advanced computer vision and foundation models, to measure driving performance across diverse conditions. The engineer will adapt on-vehicle models for offline use, improve model accuracy and generalization, and ensure statistical robustness of evaluation metrics.
Responsibilities
Develop, train, and fine-tune scene understanding models for offline performance measurement using Wayve's foundation models. Collaborate with cross-functional teams to benchmark model accuracy and ensure evidence is statistically defensible for validation pipelines.
Qualifications
Requires 4+ years of experience in ML engineering with a focus on deep learning and computer vision in production environments. Proficiency in Python, PyTorch, and experience with large-scale training and foundation models is essential.
Benefits
Equity package
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