1

Internship Tesla Machine Learning Engineer Jobs in Ohio

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 ...

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 ...

ClifyX is a company that specializes in AI solutions, and they are seeking a Machine Learning Engineer. The role involves designing advanced ML models, managing MLOps pipelines, and collaborating ...

Sr. Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

Sr. Machince Learning Engineer Location: Cincinnati OH (Hybrid - 3 Days Onsite) Duration: 1+ Year Key Responsibilities · Design, develop, deploy, and maintain scalable machine learning and ...

Senior Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

We are seeking an experienced Machine Learning Engineer with a strong bias for action, an ownership mindset, and a passion for solving complex business problems through automation and AI. The ideal ...

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

next page

Showing results 1-20

Internship Tesla Machine Learning Engineer information

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 are the most commonly searched types of Tesla Machine Learning Engineer jobs in Ohio?

The most popular types of Tesla Machine Learning Engineer jobs in Ohio are:

What cities in Ohio are hiring for Internship Tesla Machine Learning Engineer jobs?

Cities in Ohio with the most Internship Tesla Machine Learning Engineer job openings:

Machine Learning Engineer

Flexjet LLC

Cleveland, OH • On-site

$60 - $85/hr

Other

Re-posted 2 days ago


Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

19th of 68 rated aviation services


Job description

Current job opportunities are posted here as they become available.


Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models. This is an excellent opportunity for someone early in their career who is eager to develop hands-on experience with real-world ML systems.


DUTIES & RESPONSIBILITIES

  • Assist in developing and training machine learning models

  • Support the creation and maintenance of data pipelines

  • Help deploy ML models into production under guidance

  • Clean, preprocess, and analyze datasets for model training

  • Collaborate with team members to solve business problems using data

  • Monitor model performance and help troubleshoot issues

  • Document code, processes, and model behavior


REQUIRED SKILLS & QUALIFICATIONS

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)

  • Basic proficiency in Python

  • Familiarity with machine learning concepts (regression, classification, clustering)

  • Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based)

  • Understanding of data structures and algorithms fundamentals

  • Basic knowledge of SQL and data handling


PREFERRED QUALIFICATIONS

  • Internship, academic project, or personal project experience in machine learning

  • Familiarity with Git and version control

  • Exposure to cloud platforms (AWS, Azure, or Google Cloud)

  • Basic understanding of APIs or web services

  • Experience with data visualization tools (e.g., Matplotlib, Seaborn)

#J-18808-Ljbffr

What Flexjet employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom