Machine Learning Engineer - Perception

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  "lists": [
    {
      "text": "What you will be doing",
      "content": "<div>\n\n<li>Train and evaluate 3D perception models for object detection, segmentation, and lane detection</li>\n<li>Improve model performance across challenging conditions such as long range and sparse point clouds</li>\n<li>Deploy perception models to production and own the full lifecycle from research to real-world integration</li>\n<li>Diagnose and resolve deployment issues including latency, accuracy degradation, and edge case failures in the field</li>\n<li>Monitor model performance in production and iterate rapidly based on real-world feedback</li>\n<li>Build auto-labeling pipelines using vision-language models to accelerate data annotation</li>\n\n</div>"
    },
    {
      "text": "What will you have",
      "content": "<div>\n\n<li>MS or PhD in CS, Robotics, or a related field</li>\n<li>Hands-on experience with 3D object detection on LiDAR point clouds</li>\n<li>Experience using VLMs for auto-labeling or offline perception tasks</li>\n<li>Strong Python and PyTorch skills</li>\n<li>Familiarity with large-scale dataset pipelines and annotation workflows</li>\n<li>Experience with multi-object tracking or sensor fusion is a plus</li>\n\n</div>"
    }
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  "country": "US",
  "createdAt": 1777288428879,
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  "categories": {
    "team": "Software",
    "location": "Mountain View, CA",
    "commitment": "Full-Time",
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