Top Transportation Machine Learning Engineer Jobs

As a Machine Learning Systems Engineer, you will optimize distributed training systems, enhance performance profiling, and develop high-performance GPUs for machine learning workloads.

The intern will work on machine learning for multimodal perception systems, focusing on enhancing safety and performance in autonomous driving.

Lead advanced analytics and AI/ML projects, manage machine learning engineers, collaborate with stakeholders, and ensure project delivery.

The Senior Software Engineer will develop high-impact machine learning solutions, optimizing logistics operations and integrating GenAI applications while managing model lifecycle at Uber Freight.

The Senior Machine Learning Engineer will design, develop, and deploy machine learning solutions for Vitol, working across trading and operations with various stakeholders.

The Distillation Lead will define and implement strategies for model distillation and compression, collaborating with various teams to deliver efficient models for real-time systems and simulations.

The Machine Learning Engineer II will enhance ML capabilities for autonomous vehicles, train and optimize models, and ensure high performance through collaboration with cross-functional teams.

Design and oversee the development of robust data platforms for training and evaluating ML models, focusing on autonomous driving. Collaborate with multiple teams and optimize data processing pipelines.

The Machine Learning Engineer will design and develop deep learning architectures, optimize models, analyze datasets, and collaborate to enhance manufacturing processes across Howmet Aerospace.

The Senior Machine Learning Engineer will design multi-modal vision systems, optimize and deploy models, mentor junior engineers, and improve data strategies for robotic perception tasks.