Tesla is looking for an exceptional Machine Learning Engineer to build predictive life models to drive the future of intelligent Tesla products. The role involves collecting large datasets and ...
Tesla is looking for an exceptional Machine Learning Engineer to build predictive life models to drive the future of intelligent Tesla products. The role involves collecting large datasets and ...
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Internship Tesla Machine Learning Engineer information
See salary details
$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.5K
9% of jobs
$43K is the 75th percentile. Wages above this are outliers.
$42.5K - $48.2K
17% of jobs
$48.2K - $53.9K
4% of jobs
$53.9K - $59.6K
2% of jobs
$59.6K - $65.3K
3% of jobs
$65.3K - $71K
0% of jobs
$71K - $76.6K
0% of jobs
$76.6K - $82.3K
0% of jobs
$82.3K - $88K
0% of jobs
$25.5K
$42.6K
$88K
How much do internship tesla machine learning engineer jobs pay per year?
What are the key skills and qualifications needed to thrive as an Internship Tesla Machine Learning Engineer, and why are they important?
What types of projects do Machine Learning Engineer interns at Tesla typically work on, and how much ownership do they have over their work?
What does an Internship Tesla Machine Learning Engineer do?
What is the difference between Internship Tesla Machine Learning Engineer vs Data Scientist Intern?
| Aspect | Internship Tesla Machine Learning Engineer | Data Scientist Intern |
|---|---|---|
| Required Credentials | Relevant coursework, programming skills, possibly some machine learning knowledge | Statistics, data analysis, programming skills, often some machine learning understanding |
| Work Environment | Hands-on projects in AI/ML teams at Tesla, collaborative, fast-paced | Data analysis tasks, reporting, modeling in various departments, collaborative |
| Employer & Industry Usage | Tesla, automotive, AI, and autonomous driving sectors | Various industries including tech, finance, healthcare, often within data teams |
Both roles involve data and programming skills, but the Tesla Machine Learning Engineer internship focuses more on developing AI/ML models for autonomous systems, while Data Scientist Internships typically emphasize data analysis and insights across different business areas.
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Full-time
Posted 20 days ago
Tesla rating
8.5
Based on 661 frontline employees who took The Breakroom Quiz
1st of 44 rated automakers
Job description
Tesla is looking for an exceptional Machine Learning Engineer to build predictive life models to drive the future of intelligent Tesla products. The role involves collecting large datasets and developing machine learning models to enhance decision-making and design actions for Charging & Energy products.
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
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.