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Perception Technical Lead

1 month ago

San Francisco, California, United States Sauron Home Full time
About the Role

We are seeking a highly skilled Perception Technical Lead to join our team at Sauron Home. As a domain expert, you will lead the design, development, and evaluation of perception systems for our residential security products.

The ideal candidate will have a deep understanding of machine learning techniques and experience working with safety-critical systems. You will be responsible for extracting the maximum value from our sensors, fusing all observations available while being robust to occlusions, poor lighting, and disguises.

You will also lead the collection, labeling, and management of datasets to train and evaluate ML models. Additionally, you will leverage state-of-the-art models for 3D object detection, tracking, facial recognition, and semantic scene understanding, and push them to the limits of their performance in this problem domain.

Key Responsibilities:

  • Extracting the maximum value from our sensors
  • Leading the collection, labeling, and management of datasets
  • Leveraging state-of-the-art models for 3D object detection, tracking, facial recognition, and semantic scene understanding
  • Performing trade studies to understand the value of new sensors or processing approaches to system reliability
  • Analyzing the performance of systems both in simulation and using data from deployments in the field
  • Probing the inner workings of neural networks to uncover and mitigate edge case failures
  • Designing systems that can understand and communicate when they are not working well
  • Contributing to machine learning infrastructure

Requirements:

  • 5+ years of professional experience with machine learning for hardware products in a safety-critical field
  • Passionate about ML, both robust engineering and research challenges
  • A deep understanding of the theory and practice of modern machine learning techniques
  • A clear grasp of basic linear algebra, optimization, statistics, and algorithms
  • Extensive experience working with Pytorch, Tensorflow, or other modern deep learning frameworks
  • Familiar with the use of VLMs and other multi-modal models for semantic scene understanding and description
  • Able to solve complex problems with little supervision
  • Excellent communicator, both written and verbal