Latitude

Senior Software Engineer, Unified Modeling, CVML

Latitude

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, Pennsylvania

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Salary

💰 $174,000 - $261,000 per year

Job Level

Senior

Tech Stack

CloudPythonPyTorchTensorflow

About the role

  • Latitude AI develops automated driving technologies, including L3, for Ford vehicles at scale
  • Work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering
  • Unified Model development team builds compute-efficient, multi-view, multi-sensor deep learning models for detection, segmentation, lane line detection, state estimation, and scene representation
  • Develop spatio-temporal machine learning models for detection, multi-sensor fusion, segmentation, etc.
  • Read literature, analyze raw data, and design state-of-the-art solutions
  • Transition solutions from the lab to the test track and public roads to ensure successful production-level implementation
  • Collaborate with perception experts and experienced roboticists on algorithm design, prototyping, testing, deployment, and productization
  • Build and maintain industry-leading software practices and develop clean and efficient perception software

Requirements

  • A Bachelor's or Master's Degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field
  • Expert-level knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch, Tensorflow, or similar frameworks
  • Experience in developing perception systems using sensors such as Camera, Radar, and LiDAR
  • Strong experience in computer vision, perception, and point cloud processing
  • Proven experience in shipping computer vision software products to industry or consumers
  • At least 5 years of development experience in Python/C++ environments
  • Ph.D. with machine learning focus, or equivalent experience (nice to have)
  • Experience developing and deploying temporal computer vision models (for instance, video activity recognition or using multiple frames for improved results) (nice to have)