Senior Machine Learning Engineer, Perception R&D (Hybrid)
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5+ years in computer vision and deep learning, focused on applied research or advanced R&D
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Hands-on with modern architectures (ViT/Transformers, self-supervised learning, vision-language models, zero-shot detection)
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Strong Python and PyTorch expertise
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Experience tackling real-world perception challenges (occlusion, lighting, reflective surfaces); sound judgment on model vs. heuristic tradeoffs
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Experience with model distillation and quantization
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Able to clearly communicate AI concepts and performance tradeoffs to engineering and product partners
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Familiar with Docker, cloud platforms (AWS/GCP), and experiment tracking tools