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Senior Software Engineer, Machine Learning (Offboard Models)

Latitude AI

$174,000 - $261,000
Sep 25, 2025
Palo Alto, CA, US
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Latitude AI is looking to develop automated driving technologies, including L3, for Ford vehicles at scale to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone.

Requirements

  • Strong knowledge and experience (4+ years) 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, LiDAR, and RADAR
  • Experience in developing object detection, lane detection, or semantic segmentation models
  • At least 4 years of development experience in Python/C++ environments
  • Experience developing transformer models, diffusion models, or vision language models (VLM)

Responsibilities

  • Develop auto-labeling and/or data augmentation solutions for addressing the data diversity and/or annotation needs for onboard perception
  • Read literature, analyze raw data, and design state-of-the-art solutions
  • Collaborate with perception experts and experienced roboticists on algorithm design, prototyping, testing, cloud deployment, and productization
  • Develop clean and efficient software for auto-labeling and/or data augmentation modules interfacing with consumer modules such as perception and resimulation
  • Build and maintain industry-leading software practices and principles
  • Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment

Other

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
  • Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis
  • Visa sponsorship is available for this position
  • Must be willing to work in a fast-paced, innovative, and entrepreneurial environment