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Internship Tesla Machine Learning Engineer Jobs (NOW HIRING)

Advantest

Machine Learning Engineer

San Jose, CA · On-site

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of ... Hands-on experience with ML modeling via coursework, internships, or independent projects.

Ametek

Machine Learning Engineer

Herndon, VA · Hybrid

The ideal candidate has a strong engineering mindset, has contributed to shipping ML features or ... internships, or realworld projects involving applied machine learning. #LI-WA1 #LI-HYBRID

NTENT

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 ...

NTENT

Machine Learning Engineer

Carlsbad, CA

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 ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI · On-site

Machine Learning Engineer Location: 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 ...

Spotify

Machine Learning Engineer

Spotify is a leading music streaming platform, and they are seeking a Machine Learning Engineer to join their Music Promotion team. The role involves building systems to understand the performance of ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

Avride

Machine Learning Engineer Internship

Austin, TX · On-site

About the Internship At Avride, ML Engineer Interns operate at the intersection of cutting-edge ... Machine Learning / Math Foundation: Strong understanding of deep learning, reinforcement learning ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

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Internship Tesla Machine Learning Engineer information

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$25.5K

$42.6K

$88K

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

As of May 31, 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.

Machine Learning Engineer

Advantest

San Jose, CA • On-site

Full-time

Posted 6 days ago

Job description

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of data-driven and ML-powered solutions for semiconductor R&D, test, and operations teams. In this role, you'll contribute to building predictive models, conducting statistical analyses, and assisting in the development of light-to-moderate data pipelines that help transform complex semiconductor datasets into actionable insights.
This position is ideal for a recent graduate with strong foundational ML skills who is eager to learn, collaborate, and grow in a fast-paced, technically rich environment. You'll work alongside experienced engineers, data scientists, and domain experts while gaining hands-on experience across the ML lifecycle-from data preparation to model deployment
Key Responsibilities
Machine Learning & Advanced Analytics
  • Develop and evaluate ML models (e.g., classification, anomaly detection, regression, time-series analysis).
  • Perform feature engineering and exploratory data analysis on semiconductor datasets.
  • Contribute to model deployment workflows in collaboration with ML data scientists, following MLOps best practices.
  • Assist in implementing model monitoring, retraining workflows, and documentation.
  • Experiment with modern analytics techniques, including LLM-based or generative-AI methods, under guidance from senior team members.

Data Engineering & Pipeline Support
  • Help build and maintain ETL/ELT workflows that prepare data for analysis and modeling.
  • Support data quality checks, versioning, and data validation tasks.
  • Work with cloud and on-prem tools to help ensure data accessibility for ML applications.

Cross-Functional Collaboration
  • Work with semiconductor engineers and data scientists to translate domain challenges into analytical tasks.
  • Support the creation of dashboards, reports, and visualizations that communicate insights clearly.
  • Learn and apply semiconductor-specific data concepts with the support of senior mentors.

Education and Experience
  • B.S. or M.S. in Computer Science, Data Science, Engineering, Applied Math, or a related quantitative field.
  • Hands-on experience with ML modeling via coursework, internships, or independent projects.
  • Exposure to data engineering concepts-coursework or project-based experience is acceptable.

Required Technical Skills
  • Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
  • Familiarity with Pandas, NumPy, and basic data manipulation tools.
  • Understanding of API development concepts.
  • Exposure to containerization (e.g., Docker) and Linux environments.
  • Experience with dashboarding or visualization tools (Power BI, Tableau, Dash, etc.).
  • Familiarity with DevOps principles and tools.

Apply