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Internship Tesla Machine Learning Engineer Jobs in Franklin, IN

Major Tool & Machine

AI Engineer

Indianapolis, IN · On-site

Design, develop, and deploy machine learning models and algorithms from proof of concept through ... Engineering. Five years or more experience deploying AI solutions at scale. Experience

Pwc

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Pwc

AI Solutions Engineering Delivery Lead

Indianapolis, IN · On-site

$98K - $129K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Deloitte

Lead Forward Deployed Engineer - AWS

Indianapolis, IN · On-site

$98K - $129K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Pwc

CTIO AI Engineering Manager

Indianapolis, IN · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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All JobsTesla Machine Learning Engineer JobsInternship Tesla Machine Learning Engineer JobsInternship Tesla Machine Learning Engineer Jobs in Franklin, IN

Internship Tesla Machine Learning Engineer information

See Franklin, IN salary details

$23.9K

$39.9K

$82.4K

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

As of Sep 7, 2026, the average yearly pay for internship tesla machine learning engineer in Franklin, IN is $39,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $43,100.00 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?

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 cities near Franklin, IN are hiring for Internship Tesla Machine Learning Engineer jobs?

Cities near Franklin, IN with the most Internship Tesla Machine Learning Engineer job openings:

Internship Tesla Machine Learning Engineer jobs near you
Infographic showing various Internship Tesla Machine Learning Engineer job openings in Franklin, IN as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $39,881 per year, or $19.2 per hour.

Data Scientist -Indianapolis, IN

Georgia IT, Inc.

Indianapolis, IN • On-site

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Georgia IT, Inc. is seeking a Data Scientist to develop and prototype machine learning solutions in collaboration with R&D scientists. The role involves designing scalable data pipelines, deploying data products, and communicating insights to facilitate data-driven decisions.
Responsibilities:
• Partner with R&D scientists to develop and prototype rigorous machine learning solutions aligned to project needs.
• Design and implement scalable data pipelines for processing high-complexity datasets such as high-throughput bioassays or large-scale agriculture datasets.
• Partner with data scientists, data engineers, and production teams to deploy and maintain data products at scale.
• Communicate and train research partners on models and products to facilitate data-driven decisions.
• Communicate insights derived from complex data analysis into simple conclusions that empower leadership to drive action; communicate results in internal and external forums; and contribute to scientific articles as needed.
• Steward data product life cycle and partner with other scientists to continuously improve underlying models and optimize data architecture.
• Stay abreast of emerging technologies in big data, machine learning, and agriculture tech and advocate for their adoption where beneficial.
Qualifications:
Required:
• 7-8 Years of strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization
• Experience and fundamental understanding of machine learning techniques (e.g., logistic regression, random forest, XGBoost, SVMs, K-means, neural networks)
• Solid understanding of variable selection; dimensionality reduction; model diagnostics; and model training, testing, and validation
• Experience deploying machine learning models in production (e.g., CI/CD pipeline development; containerization using tools such as docker, podman, or Kubernetes; Git)
• Ability to work both independently and within a multidisciplinary team environment to provide innovative solutions
• Ability to successfully collaborate with colleagues from diverse technical backgrounds which includes excellent communication, interpersonal, verbal, and written skills
• Strong critical thinking and problem-solving skills, flexibility, and willingness to learn
Preferred:
• Familiarity with modeling biological, cellular, or ecological data; molecular biology or biochemistry concepts; or data science in agriculture
• Proven experience as a machine learning engineering or similar role with a strong focus on machine learning deployment and data pipeline construction
• Familiarity with artificial intelligence or generative AI techniques
• Experience in big data technologies (e.g., Hadoop, Spark) and database management systems (e.g., SQL, NoSQL)
• Experience with AWS
• Experience consulting on scientific projects or working within a scientific team
Company:
Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. Founded in 2007, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

Social media

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