Tesla Sr. Machine Learning Engineer Reliability Engineering 

United States, California, Palo Alto 

748560439

Design, develop, train, and deploy predictive / control models of physical degradation, usage and system performance

Build robust, flexible and automated software tools to enable complex analysis of real-time fleet

Design scalable and reliable data pipelines to productionize and monitor both new and existing models

Convert complex business requirements and research findings into actionable insights and data-driven solutions

Conduct research and remain up to date on the latest developments in AI/ML, with a special focus on physics-informed AI, to rapidly test and prototype new ideas

Practical experience with C to help integrate with firmware and take project ideas to shipped products

Expertise in working with and optimizing large datasets, data pipelines, and AI models

Solid understanding of linear algebra, probabilistic theory, numerical optimization, and deep learning, with hands-on implementation experience

General knowledge of physics and engineering principles

Nice to have: Record of coming up with new ideas (or improving upon existing ideas) in statistical modeling or machine learning, demonstrated by accomplishments such as first author publications or open-source projects