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Latitude AI is developing automated driving technologies, including L3, for Ford vehicles at scale. The Offboard Models team needs to create auto-labeling and data augmentation solutions for autonomy consumers, specifically for perception and mapping, to address data diversity and annotation needs.

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.
• We are an Equal Opportunity Employer committed to a culturally diverse workforce.