Machine Learning Engineer – Reliability Engineering
| Company | Tesla |
|---|---|
| Location | Palo Alto, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level, Senior |
Requirements
- Proficiency in writing production-quality code in Python; experience with major deep learning frameworks, and software engineering best practices
- 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
Responsibilities
- 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
Preferred Qualifications
- 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