Staff Machine Learning Engineer, Energy & Charging

This role is based in Palo Alto, California.

Compensation:

$100,000 - $270,000/year + cash and stock awards + benefits

What you'll do:

• Design, develop, train, and deploy predictive models of physical degradation and system performance.
• Build automated software tools for complex analysis of real-time fleet data.
• Convert business requirements into actionable insights.
• Conduct research on AI/ML developments.

What you'll bring:

• Proficiency in Python and experience with deep learning frameworks.
• Practical experience with C for firmware integration.
• Expertise in optimizing large datasets and AI models.
• Solid understanding of linear algebra and deep learning.