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Internship Spacex Machine Learning Jobs in Ohio (NOW HIRING)

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 ...

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 ...

New

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 ...

New

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

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Internship Spacex Machine Learning information

Does SpaceX do paid internships?

SpaceX offers paid internships for students and recent graduates in various technical and engineering fields, including machine learning. Interns typically receive compensation and work in a professional environment, often during summer or semester periods, gaining practical experience in aerospace technology.

How difficult is it to get a SpaceX internship?

Securing a SpaceX internship in machine learning is highly competitive due to the company's reputation and limited openings. Applicants typically need strong technical skills in programming, data analysis, and relevant coursework or projects, along with a solid academic record. The selection process involves multiple interviews and assessments to evaluate technical proficiency and problem-solving ability.

What is the difference between Internship Spacex Machine Learning vs Data Science Intern?

AspectInternship Spacex Machine LearningData Science Intern
Required CredentialsRelevant coursework, basic programming skills, possibly some experience in MLStatistics, programming, data analysis skills, often a related degree
Work EnvironmentHands-on projects in aerospace, collaborative teams, fast-pacedData analysis, modeling tasks, diverse industries, team-based
Employer & Industry UsageSpaceX, aerospace, technology innovationVarious industries including tech, finance, healthcare

Internship Spacex Machine Learning focuses on applying ML techniques to aerospace challenges at SpaceX, emphasizing engineering and technical skills. Data Science Internships are broader, covering data analysis and modeling across multiple industries. Both roles require programming and analytical skills but differ in industry focus and project scope.

How to get a SpaceX internship?

To secure a SpaceX internship in machine learning, applicants should have a strong background in computer science, programming skills in Python or C++, and experience with machine learning frameworks like TensorFlow or PyTorch. Candidates typically need to apply through the official SpaceX careers portal, submit a resume highlighting relevant coursework and projects, and demonstrate problem-solving abilities during interviews. Internships are often competitive and require current enrollment in a related degree program.
What are the most commonly searched types of Spacex Machine Learning jobs in Ohio? The most popular types of Spacex Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Internship Spacex Machine Learning jobs? Cities in Ohio with the most Internship Spacex Machine Learning job openings:
Infographic showing various Internship Spacex Machine Learning job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer

Flexjet

Cleveland, OH • On-site

Full-time

Re-posted 3 days ago


Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

18th of 65 rated aviation services


Job description

POSITION SUMMARY
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)
  • Strong willingness to learn and grow
  • Problem-solving mindset
  • Good communication and teamwork skills
  • Attention to detail

What Flexjet employees say

Pay

Benefits

Hours and flexibility

Workplace

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