Top Automotive Machine Learning Engineer Jobs

The Staff AI/ML Engineer will advance machine learning for autonomous driving by researching and prototyping techniques, collaborating with teams, and publishing findings.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.

As an AI/ML Software Engineering Intern, you'll develop AI-driven features, collaborate in Agile teams, and gain hands-on software engineering experience.

Work on prototyping and implementing audio ML algorithms for real-time applications. Present findings and integrate solutions into existing platforms. Collaborate with experts in ML and DSP.

The role involves developing AI and ML solutions, overseeing fine-tuning operations, designing orchestration layers, and improving AI engine performance.

Develop and deploy machine learning models for decision-making in autonomous trucks, focusing on learned behavior systems and model performance improvements.

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.

Develop real-time algorithms for self-driving vehicle trajectories, integrate machine learning with motion planning, and design production-grade software for the Aurora Driver.

This role involves leading the development of dynamic pricing models using econometrics and machine learning, translating business problems into deployable solutions, and collaborating with cross-functional teams to optimize marketplace pricing strategies.