Niantic Spatial, Inc.
Niantic Spatial, Inc.
Niantic Spatial, Inc. भौगोलिक-स्थानिक AI विकसित करती है, जो भौतिक दुनिया के मशीन-पठनीय निरूपण बनाने में सहायक है। इसका प्लेटफ़ॉर्म ज़मीनी और हवाई सेंसरों से प्राप्त डेटा को मिलाकर उच्च-विश्वसनीयता वाले, भौगोलिक रूप से संदर्भित 3D डिजिटल ट्विन तैयार करता है, GPS के अविश्वसनीय होने पर दृश्य स्थानीयकरण का समर्थन करता है और मानचित्रित परिवेशों में अर्थ संबंधी जानकारी जोड़ता है। स्थान को कैप्चर करने, उसका पुनर्निर्माण करने, स्थानीयकरण करने और उसे समझने वाले उत्पादों के माध्यम से कंपनी SDK और एंटरप्राइज़ सेवाओं के साथ रोबोटिक्स, सार्वजनिक क्षेत्र और रक्षा, औद्योगिक तथा बड़े आयोजन-स्थल संबंधी उपयोग मामलों में डेवलपरों और संगठनों की सेवा करती है।

Computer Vision AI Engineer

Train computer vision localization models for Niantic Spatial’s physical AI and geospatial platform. Build data pipelines, evaluation benchmarks, and production inference systems.

विवरण

  • Develop, train, and assess visual localization models using PyTorch.
  • Refine model architectures, loss functions, and training loops to improve accuracy on production imagery.
  • Help build high-throughput pipelines to ingest and preprocess images, pose data, and 3D point clouds.
  • Run model training on GPU systems using a corpus of 30 billion images.
  • Build and maintain benchmarks that measure localization pose accuracy, recall, and production latency.
  • Prepare models for deployment through export, inference optimization, and monitoring.
  • Partner with Research and the Real-World Test Lab to turn field failures into training data and benchmark improvements.
  • Contribute throughout the pipeline, from data preparation and training to production services.

आवश्यकताएँ

  • Experience training PyTorch deep learning models for computer vision through coursework, research, internships, or early industry roles.
  • Foundational knowledge of at least one area: visual localization, learned feature matching, image retrieval, pose estimation, SLAM, or structure-from-motion.
  • Understanding of 3D geometry, including camera models, epipolar geometry, and pose representations.
  • Comfort working with large image or 3D datasets, including their preprocessing and curation.
  • Familiarity with GPU-based training and the ability to assess training runs.
  • Strong Python skills.
  • Bachelor’s or master’s degree in computer science, computer vision, robotics, or a related field, or equivalent practical experience.
  • Ability to work from the San Francisco office at least three days per week.

लाभ

  • Annual bonus
  • Equity
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • 401(k)
  • Comprehensive benefits package

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