Tesla is seeking a Staff Machine Learning Engineer for its Bottle Rocket team to develop innovative, data-driven solutions on Tesla's generative AI platform. The role involves leveraging machine ...
Tesla is seeking a Staff Machine Learning Engineer for its Bottle Rocket team to develop innovative, data-driven solutions on Tesla's generative AI platform. The role involves leveraging machine ...
Machine Learning Engineer
New York, NY · On-site
Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...
Machine Learning Engineer
New York, NY · On-site
Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...
Machine Learning Engineer
New York, NY · On-site
Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...
Machine Learning Engineer
New York, NY · On-site
Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...
Machine Learning Engineer
Cleveland, OH · On-site
In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Internship, academic project, or personal project experience in machine learning * Familiarity with ...
Machine Learning Engineer
Cleveland, OH · On-site
In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Internship, academic project, or personal project experience in machine learning * Familiarity with ...
Machine Learning Engineer
Cleveland, OH · On-site
In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Internship, academic project, or personal project experience in machine learning * Familiarity with ...
Machine Learning Engineer
Cleveland, OH · On-site
In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Internship, academic project, or personal project experience in machine learning * Familiarity with ...
In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Internship, academic project, or personal project experience in machine learning * Familiarity with ...
Quick apply
In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Internship, academic project, or personal project experience in machine learning * Familiarity with ...
Machine Learning Engineer
Cleveland, OH · On-site
In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Internship, academic project, or personal project experience in machine learning * Familiarity with ...
Machine Learning Engineer
Cleveland, OH · On-site
In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Internship, academic project, or personal project experience in machine learning * Familiarity with ...
Machine Learning Engineer
Ann Arbor, MI · On-site
Required : • 0-4 years of experience (including internships or research) in machine learning ... engineering from experts who will challenge your assumptions. • A self-starter who asks good ...
Machine Learning Engineer
Ann Arbor, MI · On-site
Required : • 0-4 years of experience (including internships or research) in machine learning ... engineering from experts who will challenge your assumptions. • A self-starter who asks good ...
As a Machine Learning Engineer, you will work within a collaborative technical team to build ... internship, personal, or professional projects. - Strong Python foundation and hands-on experience ...
As a Machine Learning Engineer, you will work within a collaborative technical team to build ... internship, personal, or professional projects. - Strong Python foundation and hands-on experience ...
Machine Learning Engineer
Manhattan, NY · On-site
Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...
Machine Learning Engineer
Manhattan, NY · On-site
Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...
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 ...
Quick apply
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 Intern
South San Francisco, CA · On-site
$35/hr
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase ... Temporary Employees & Interns excluded
Machine Learning Engineer Intern
South San Francisco, CA · On-site
$35/hr
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase ... Temporary Employees & Interns excluded
JOB SUMMARY We are seeking a hands-on Machine Learning Engineer to design, build, evaluate, deploy, and maintain machine learning models in production environments. The ideal candidate will have ...
JOB SUMMARY We are seeking a hands-on Machine Learning Engineer to design, build, evaluate, deploy, and maintain machine learning models in production environments. The ideal candidate will have ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing ...
Machine Learning Engineer / Data Scientist Remote / Onsite Onsite options available in Philadelphia, Washington DC, or California (Philadelphia preferred). Seeking candidates with 4-5 years of ...
Machine Learning Engineer / Data Scientist Remote / Onsite Onsite options available in Philadelphia, Washington DC, or California (Philadelphia preferred). Seeking candidates with 4-5 years of ...
We seek Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] candidates with relevant Government And Public Services Sector Experience ...
We seek Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] candidates with relevant Government And Public Services Sector Experience ...
ProSidian.com ProSidian Seeks a Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist Support [NSF0112112] for Program Support on a Exempt W2: No Overtime Pay Basis ...
ProSidian.com ProSidian Seeks a Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist Support [NSF0112112] for Program Support on a Exempt W2: No Overtime Pay Basis ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $180K/yr
As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ... Desired Qualifications * 2-8+ years of experience (including internships or research) in machine ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $180K/yr
As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ... Desired Qualifications * 2-8+ years of experience (including internships or research) in machine ...
Machine Learning Engineer
Carlsbad, CA · On-site
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
Carlsbad, CA · On-site
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
Aurora, CO · On-site
$77K - $176K/yr
As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques ...
Machine Learning Engineer
Aurora, CO · On-site
$77K - $176K/yr
As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques ...
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?
As of Sep 13, 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 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 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 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 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.
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 are popular job titles related to Internship Tesla Machine Learning Engineer jobs?
For Internship Tesla Machine Learning Engineer jobs, the most frequently searched job titles are:
Staff Machine Learning Engineer, AI Infrastructure
Palo Alto, CA • On-site
Full-time
This job post has expired today. Applications are no longer accepted.
Tesla rating
8.5
Based on 690 frontline employees who took The Breakroom Quiz
Job description
Job Summary:
Tesla is seeking a Staff Machine Learning Engineer for its Bottle Rocket team to develop innovative, data-driven solutions on Tesla’s generative AI platform. The role involves leveraging machine learning models and deep learning techniques to solve complex problems, collaborating with cross-functional teams, and translating research concepts into scalable data products.
Responsibilities:
• Design, develop, train, and deploy machine learning solutions that leverage generative AI technologies, such as Large Language Models (LLMs)
• Analyze and improve the accuracy, efficiency, and scalability of AI models through rigorous data-driven experimentation, evaluation, and iterative model training processes
• Work closely with software engineers to productionize machine learning models and integrate them into scalable, reliable systems
• Optimize data pipelines and workflows to enable high-performance AI applications, leveraging specialized hardware when appropriate
• Deliver robust, high-impact data products that inform decision-making and enhance the capabilities of the generative AI platform
• Conduct research and remain up-to-date on the latest developments in AI/ML, with a special focus on generative AI, to rapidly test and prototype new ideas
• Convert complex business requirements and research findings into actionable insights and data-driven solutions
Qualifications:
Required:
• Proven experience in applying machine learning and AI techniques to solve real-world problems, particularly with generative AI and LLMs
• Strong proficiency with Python-based machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, JAX, TGI/vLLM, NumPy)
• Demonstrated ability to take research prototypes and deploy them as scalable, production-grade systems
• Expertise in working with and optimizing large datasets, data pipelines, and AI models
• Experience building robust, reliable solutions that minimize downtime and maximize user impact
• A problem-solving mindset, with strong attention to detail and a true follower of Occam's razor when designing and implementing solutions
Company:
Tesla is accelerating the world’s transition to sustainable abundance. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.
Tesla is seeking a Staff Machine Learning Engineer for its Bottle Rocket team to develop innovative, data-driven solutions on Tesla’s generative AI platform. The role involves leveraging machine learning models and deep learning techniques to solve complex problems, collaborating with cross-functional teams, and translating research concepts into scalable data products.
Responsibilities:
• Design, develop, train, and deploy machine learning solutions that leverage generative AI technologies, such as Large Language Models (LLMs)
• Analyze and improve the accuracy, efficiency, and scalability of AI models through rigorous data-driven experimentation, evaluation, and iterative model training processes
• Work closely with software engineers to productionize machine learning models and integrate them into scalable, reliable systems
• Optimize data pipelines and workflows to enable high-performance AI applications, leveraging specialized hardware when appropriate
• Deliver robust, high-impact data products that inform decision-making and enhance the capabilities of the generative AI platform
• Conduct research and remain up-to-date on the latest developments in AI/ML, with a special focus on generative AI, to rapidly test and prototype new ideas
• Convert complex business requirements and research findings into actionable insights and data-driven solutions
Qualifications:
Required:
• Proven experience in applying machine learning and AI techniques to solve real-world problems, particularly with generative AI and LLMs
• Strong proficiency with Python-based machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, JAX, TGI/vLLM, NumPy)
• Demonstrated ability to take research prototypes and deploy them as scalable, production-grade systems
• Expertise in working with and optimizing large datasets, data pipelines, and AI models
• Experience building robust, reliable solutions that minimize downtime and maximize user impact
• A problem-solving mindset, with strong attention to detail and a true follower of Occam's razor when designing and implementing solutions
Company:
Tesla is accelerating the world’s transition to sustainable abundance. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.