ZipRecruiter

Log In

1

Internship Tesla Machine Learning Engineer Jobs (NOW HIRING)

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

HeyMilo AI

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing ...

next page

Showing results 1-20

People also search for

All JobsInternship Tesla Machine Learning Engineer Jobs

Internship Tesla Machine Learning Engineer information

See salary details

$25.5K

$42.6K

$88K

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

As of Jun 1, 2026, the average yearly pay for internship tesla machine learning engineer in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Tesla Machine Learning Engineer, and why are they important?

To thrive as an Internship Tesla Machine Learning Engineer, you need a solid background in computer science, mathematics, and machine learning principles, often supported by progress toward a relevant bachelor’s or master’s degree. Familiarity with Python, TensorFlow or PyTorch, and experience using data processing tools and version control systems are typically required. Strong problem-solving, communication skills, and the ability to collaborate effectively in a fast-paced team environment will set you apart. These skills and qualities are crucial for contributing to high-impact projects and advancing cutting-edge AI solutions at Tesla.

What types of projects do Machine Learning Engineer interns at Tesla typically work on, and how much ownership do they have over their work?

Machine Learning Engineer interns at Tesla are often involved in projects that directly contribute to the development of advanced AI systems, such as autonomous driving, predictive analytics, or manufacturing optimization. Interns are typically given meaningful, hands-on tasks and are expected to take significant ownership of specific components or models within a larger project. Collaboration with senior engineers and cross-functional teams is common, providing exposure to Tesla's fast-paced, innovative work culture. Interns also have opportunities to present their work to leadership and receive mentorship, which can be valuable for future career growth.

What does an Internship Tesla Machine Learning Engineer do?

An Internship Tesla Machine Learning Engineer assists in developing and improving machine learning models used in Tesla’s products and operations. Interns typically work on data preprocessing, algorithm development, and model evaluation under the guidance of senior engineers. Their projects may involve computer vision, natural language processing, or predictive analytics applied to Tesla’s vehicles, manufacturing, or autonomous driving systems. The internship offers hands-on experience with real-world data and cutting-edge technology, helping students build valuable industry skills.

What is the difference between Internship Tesla Machine Learning Engineer vs Data Scientist Intern?

AspectInternship Tesla Machine Learning EngineerData Scientist Intern
Required CredentialsRelevant coursework, programming skills, possibly some machine learning knowledgeStatistics, data analysis, programming skills, often some machine learning understanding
Work EnvironmentHands-on projects in AI/ML teams at Tesla, collaborative, fast-pacedData analysis tasks, reporting, modeling in various departments, collaborative
Employer & Industry UsageTesla, automotive, AI, and autonomous driving sectorsVarious 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.

More about Internship Tesla Machine Learning Engineer jobs
What cities are hiring for Internship Tesla Machine Learning Engineer jobs? Cities with the most Internship 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 Internship Tesla Machine Learning Engineer jobs? States with the most job openings for Internship Tesla Machine Learning Engineer jobs include:
What job categories do people searching Internship Tesla Machine Learning Engineer jobs look for? The top searched job categories for Internship Tesla Machine Learning Engineer jobs are:
Internship Tesla Machine Learning Engineer jobs near you
Infographic showing various Internship Tesla Machine Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 55% Full Time, 42% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Staff Machine Learning Engineer, Energy & Charging

Staff Machine Learning Engineer, Energy & Charging

Tesla

Palo Alto, CA • On-site

Full-time

Posted 20 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.

What Tesla employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply