About the job
Latitude AI (lat.ai) is at the forefront of developing cutting-edge automated driving technologies, including Level 3 systems for Ford vehicles. Our mission is to transform the driving experience, making travel safer, less stressful, and more enjoyable for all.
As part of the Latitude team, you will collaborate with leading experts in machine learning, robotics, cloud platforms, mapping, sensors, and safety engineering. Together, we are dedicated to making a significant, positive impact on the driving experience for millions.
Operating as a subsidiary of Ford Motor Company, Latitude maintains the agility of a tech startup while developing automated driving technologies. Our headquarters is in Pittsburgh, with additional engineering centers in Dearborn, Michigan, and Palo Alto, California.
Join Our Team:
The Performance Prediction team is responsible for creating machine learning models, evaluation pipelines, and internal tools that enable us to monitor how autonomous behavior evolves with each software release. We tackle challenges in behavior classification, ride quality assessment, probabilistic trajectory forecasting, and regression analysis for releases.
Our systems integrate both classical and modern ML approaches, employing compact classifiers like tree-based models for behavior and ride quality detection, as well as deep learning models for complex autonomy tasks. We also develop the software infrastructure around these models, including dataset definition, feature generation, training workflows, offline metrics, experiment tracking, and tools for regression inspection at detailed levels.
This position is ideal for those who thrive on developing reliable Python systems and implementing rigorous ML evaluation methods in safety-critical environments. The work involves a blend of ML systems development, model evaluation, and internal tooling used by various teams across the autonomy spectrum.
