Top Automotive Machine Learning Engineer Jobs

The Machine Learning Engineer will design and implement advanced ML models for energy systems, collaborating with R&D teams to tackle challenges in battery technology.

Develop, train, and deploy RL-based locomotion policies for humanoid robots; build simulation environments and sim-to-real pipelines; integrate learned policies with whole-body control and state estimation; perform real-robot tuning, debugging, and hardware deployment with cross-functional teams.

Develop and optimize predictive models for credit and risk, leveraging advanced machine learning techniques to improve accuracy and decision quality.

The Senior Software Engineer will develop and optimize algorithms and ML models for mobile, embedded, and cloud environments. Responsibilities include collaborating with cross-functional teams, deploying algorithms, analyzing performance, and ensuring code quality.

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.

The Principal Engineer, ML leads the technical direction for VLA models in Automated Driving and oversees architectural decisions, model development, and evaluation strategies, partnering with data and platform teams to enhance system performance.