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Internship Tesla Machine Learning Engineer Jobs (NOW HIRING)

RIT Solutions

Machine Learning Engineer

Fremont, CA · On-site

Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. In ...

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 · On-site

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 ...

Emonics LLC

Machine Learning Engineer

San Jose, CA

Machine Learning Engineer -- Fresher We are hiring a Machine Learning Engineer to develop and deploy machine learning models for business applications. You will work with data scientists and software ...

Yaskawa

Machine Learning Engineer

Franklin, WI · On-site

To be successful you should have 0-3 years of of professional or internship experience in machine learning, data science, or software engineering. Also proficiency in Python and familiarity with ML ...

Yaskawa

Machine Learning Engineer

Franklin, WI · On-site

To be successful you should have 0-3 years of of professional or internship experience in machine learning, data science, or software engineering. Also proficiency in Python and familiarity with ML ...

Forhyre

Machine Learning Engineer

New York, NY

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 ...

Full Scope

Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...

Paylocity

Machine Learning Engineer

Schaumburg, IL · On-site

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Paylocity

Machine Learning Engineer

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

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All JobsInternship Tesla Machine Learning Engineer Jobs

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 Jun 22, 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 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.

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 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.
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What cities are hiring for Internship Tesla Machine Learning Engineer jobs? Cities with the most Internship Tesla Machine Learning Engineer job openings:
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Internship Tesla Machine Learning Engineer jobs near you
Infographic showing various Internship Tesla Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 1% As Needed, 1% Full Time, 95% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

RIT Solutions

Fremont, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Engineer

Location: Fremont, CA Duration: 12+ Months Tesla/ $65

About the Role

Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. In this role, you will be responsible for designing, developing, and deploying advanced machine learning solutions that support factory and warehouse operations. You will transform complex and ambiguous business challenges into scalable, end-to-end solutions using a variety of machine learning techniques, including supervised learning, computer vision, and deep learning frameworks such as PyTorch. The ideal candidate will collaborate closely with cross-functional teams across Production, Process Engineering, Controls, and Quality to address critical operational challenges. This position requires hands-on experience with model development, deployment, monitoring, and maintenance in production environments, as well as the ability to work with diverse and multi-modal datasets, including images, sensor data, voice, text, and structured data.

Key Responsibilities
  • Design, develop, and deploy machine learning models to enhance factory and warehouse operations.
  • Partner with cross-functional stakeholders to identify and solve high-impact operational challenges.
  • Build and maintain end-to-end machine learning pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring.
  • Evaluate and benchmark machine learning models using statistical methodologies to ensure optimal performance and business value.
  • Develop robust monitoring and alerting mechanisms to ensure reliability and rapid issue resolution for production models.
  • Integrate and analyze heterogeneous datasets, including image data, sensor outputs, voice recordings, text, and tabular datasets.
  • Write clean, scalable, and maintainable code to translate research concepts into production-ready solutions.
Required Qualifications
  • Strong proficiency in Python, particularly for high-performance and data-intensive applications.
  • Hands-on experience with at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow.
  • Expertise in one or more of the following domains:
    • Computer Vision
    • Large Language Models (LLMs)
    • Recommender Systems
    • Operations Research
  • Solid understanding of statistics and experimental methods for model evaluation and comparison.
  • Proven experience deploying, monitoring, and maintaining machine learning solutions in production environments.
  • Strong commitment to writing clean, modular, and sustainable code.
Preferred Qualifications
  • Experience working within manufacturing, industrial automation, logistics, or warehouse environments.
  • Familiarity with multi-modal data processing and integration techniques.
  • Strong analytical and problem-solving abilities with the capacity to thrive in fast-paced and ambiguous environments.
  • Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.

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