Top Automotive Machine Learning Engineer Jobs

Develop real-time algorithms for self-driving vehicles, design software, analyze data to improve machine learning models, and create testing workflows.

The role involves applying advanced machine learning techniques to solve perception, prediction, and planning problems in autonomous systems, while also providing leadership and deploying solutions to public roads.

Engineer III, Machine Learning develops ADAS driving models using reinforcement learning and multimodal data. Collaborates with cross-functional teams for model training and evaluation.

The Senior Manager for Machine Learning will lead the ML team, coordinate initiatives, and enhance product development in a collaborative environment.

Lead a team to advance performance marketing through machine learning and data-driven strategies, optimizing budget allocation and measuring impact.

Interns will work on machine learning solutions for autonomous driving, contributing to real-world projects in perception, prediction, and planning.

Develop and maintain machine learning models for robotics applications, collaborate across teams, and contribute to innovative solutions in AI and mobility.

As a Senior ML Engineer, you'll develop scalable solutions for Carvana's communication platform, focusing on machine learning and data integration, while collaborating with data science and product teams for continuous innovation.

As a Machine Learning Engineer, you will own the full lifecycle of ML from model development to production deployment, collaborating with teams to drive ML processes.

Develop auto-labeling and data augmentation solutions for perception and mapping. Collaborate on algorithms, analyze data, and deploy ML models.