Senior / Staff Software Engineer- Unified Modeling (Machine Learning - Perception)

Latitude AI is developing automated driving and hands-free advanced driver assistance technology for Ford’s autonomy roadmap. The Senior/Staff Software Engineer will develop, deploy, and productize spatio-temporal machine learning and perception models for autonomous vehicles, working across computer vision, sensor fusion, testing, and production software engineering.

Responsibilities:

• 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 principles
• Develop clean and efficient software for perception modules interfacing with other key modules
• Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment

Requirements:

• • A Bachelor's or Master's Degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field plus 7 years of industry experience
• • 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
• Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis
• • Ph.D. with machine learning focus, or equivalent experience
• • Experience developing and deploying temporal computer vision models (for instance, video activity recognition or using multiple frames for improved results on other tasks)