Senior Machine Learning Engineer, Perception R&D (Hybrid)

  • 5+ years in computer vision and deep learning, focused on applied research or advanced R&D

  • Hands-on with modern architectures (ViT/Transformers, self-supervised learning, vision-language models, zero-shot detection)

  • Strong Python and PyTorch expertise

  • Experience tackling real-world perception challenges (occlusion, lighting, reflective surfaces); sound judgment on model vs. heuristic tradeoffs

  • Experience with model distillation and quantization

  • Able to clearly communicate AI concepts and performance tradeoffs to engineering and product partners

  • Familiar with Docker, cloud platforms (AWS/GCP), and experiment tracking tools

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