Machine Learning Engineer

3 weeks ago


Stanford, California, United States Teleo Inc. Full time

About the Role

The ML Perception role at Teleo Inc. is responsible for developing machine learning-based methods to understand and interpret scenes using various sensor modalities.

This critical information enables our path-planning systems to safely navigate and avoid obstacles.

Responsibilities

  • Work with the ML team to improve existing as well as implement new perception features within our systems.
  • Stay abreast of the latest research by reading and implementing state-of-the-art methods from academic papers.
  • Regularly communicate progress, challenges, and achievements to the team.
  • Contribute to the advancement of the field by publishing research papers and filing patents.

Minimum Qualifications

  • Ongoing/completed Ph.D. or Master's degree in Computer Science or a related field.
  • Proficiency in Python and PyTorch.
  • Solid understanding of neural networks and machine learning fundamentals.
  • Experience with a vision-based deep learning project.
  • Strong enthusiasm for continuous learning, including reading academic papers and participating in discussions about current trends in computer vision.

Preferred Qualifications

  • Experience with perception projects involving cameras and/or lidar for tasks such as object detection, scene segmentation, depth estimation, freespace estimation, etc.
  • Good understanding of calibrating fisheye cameras using advanced models like the double sphere camera model.
  • Proficiency in C++.
  • Experience with version control systems, particularly Git.
  • Authorship or co-authorship of papers presented at conferences like CVPR, NeurIPS, IROS, etc.


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