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Full Time Tesla Machine Learning Engineer Jobs (NOW HIRING)

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the Research and Development Team, where ...

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How much do full time tesla machine learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for full time tesla machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Tesla Machine Learning Engineer vs Full Time Tesla Data Scientist?

AspectFull Time Tesla Machine Learning EngineerFull Time Tesla Data Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related field; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models for autonomous driving, energy, and manufacturingAnalyzes data to inform business decisions, optimize processes
Employer & Industry UsageTesla's AI and autonomous vehicle teamsTesla's data analytics and business intelligence teams

While both roles require strong technical skills and experience with data, Tesla Machine Learning Engineers focus on developing and deploying ML models for autonomous systems, whereas Tesla Data Scientists analyze data to support strategic decisions. The roles overlap in skills but differ in application and focus.

More about Full Time Tesla Machine Learning Engineer jobs
What cities are hiring for Full Time Tesla Machine Learning Engineer jobs? Cities with the most Full Time Tesla Machine Learning Engineer job openings:
What are the most commonly searched types of Tesla Machine Learning Engineer jobs? The most popular types of Tesla Machine Learning Engineer jobs are:
What states have the most Full Time Tesla Machine Learning Engineer jobs? States with the most job openings for Full Time Tesla Machine Learning Engineer jobs include:
Infographic showing various Full Time Tesla Machine Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 22% Part Time, and 6% Contract. Highlights an 1% Physical, and 99% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Staff Machine Learning Engineer, Energy & Charging

Staff Machine Learning Engineer, Energy & Charging

Tesla

Palo Alto, CA • On-site

Full-time

Posted 19 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
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.

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