Machine Learning Engineer - Offboard Models

Latitude AI, a Ford Motor Company subsidiary, is at the forefront of automated driving technology development. As a Machine Learning Engineer in the Offboard Models team, you'll be working on cutting-edge computer vision and machine learning technology, specifically focusing on auto-labeling and data augmentation solutions for autonomy applications.

The role involves developing sophisticated multi-view, multi-sensor deep learning models for various tasks including 3D object detection, lane line detection, and scene segmentation. You'll be working with state-of-the-art technologies like Neural Radiance Field (NeRF) and Gaussian Splatting for 3D scene reconstruction and manipulation.

Working alongside leading experts in machine learning, robotics, cloud platforms, and systems engineering, you'll have the opportunity to make a real impact on the future of driving technology. The position offers a competitive salary range of $174,000 - $261,000 USD, along with comprehensive benefits including medical insurance, 401(k), unlimited vacation, and professional development opportunities.

The ideal candidate should have strong expertise in machine learning, particularly in deep learning frameworks like PyTorch or TensorFlow, and significant experience with perception systems using various sensors. You'll be part of a team that values innovation, collaboration, and technical excellence, working in a fast-paced environment that combines the stability of Ford with the agility of a technology startup.

This is an excellent opportunity for someone passionate about autonomous driving technology and eager to work on projects that will directly impact millions of drivers' experiences. The role offers the perfect blend of cutting-edge technical challenges, collaborative team environment, and the chance to shape the future of transportation.