Top Automotive Machine Learning Engineer Jobs

Lead machine learning validation research in AV, developing metrics and tools for simulation-led validation of ML components and autonomous driving behavior.

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.

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

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 the development of pricing algorithms for vehicle valuation at CarMax, managing a team of data scientists to implement strategies and maintain optimal pricing models.

The role involves developing ML models, conducting experiments, and optimizing car assignments to improve Waymo's Marketplace efficiency.

This role involves deploying and optimizing machine learning models for autonomous vehicle motion planning, ensuring performance and reliability in production settings.

Design and develop machine learning models for AI-powered applications while collaborating with teams to achieve business objectives. Responsibilities include data preprocessing, model optimization, mentorship, and infrastructure management.

As a Senior ML Engineer at Torc, you will develop and maintain ML frameworks, enabling advanced solutions for autonomous vehicles and improving ML platforms.

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