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Internship Spacex Machine Learning Jobs in Georgia

Explore opportunities to incorporate AI and machine learning capabilities into software solutions ... internships, or personal development. * Familiarity with web technologies, APIs, and modern ...

Mentor interns on novel research problems. * Publish papers in top-tier conferences and journals ... Deep knowledge on current machine learning literature. * Strong publication record, with ...

... or internships * Interest, coursework, or experience in Computer Science, Information Technology ... Familiarity with AI and Machine Learning concepts and techniques * Experience with or exposure to ...

... or internships * Interest, coursework, or experience in Computer Science, Information Technology ... Familiarity with AI and Machine Learning concepts and techniques * Experience with or exposure to ...

Kids Coding Mentor

Lawrenceville, GA · On-site

$13 - $17.75/hr

This internship is perfect for you if you: * Are enthusiastic about learning new things * Have a ... SpaceX Ready to join the Code Ninjas revolution? Apply today and take the first step towards an ...

Marketing Intern

Atlanta, GA

$15 - $19.75/hr

... machine learning to recommend meals, which we then cook out of our commercial kitchen and deliver to your door. Our meals evolve based on the tastes and needs of our customers. Marketing Internship ...

Marketing Intern

Atlanta, GA · On-site

$15 - $19.75/hr

... machine learning to recommend meals, which we then cook out of our commercial kitchen and deliver to your door. Our meals evolve based on the tastes and needs of our customers. Marketing Internship ...

IT Intern - Summer 2027

Atlanta, GA · On-site

$14.50 - $19.25/hr

Machine Learning / Artificial Intelligence - Contributing to use cases involving forecasting ... Prior internship or project experience in a technology-related role. Job Summary Gain hands-on ...

IT Intern - Summer 2027

Atlanta, GA · On-site

$14.50 - $19.25/hr

Machine Learning / Artificial Intelligence - Contributing to use cases involving forecasting ... Prior internship or project experience in a technology-related role. Job Summary Gain hands-on ...

Showing results 41-60

Internship Spacex Machine Learning information

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.

Does SpaceX hire interns?

Yes, SpaceX offers internship programs in various fields including engineering, manufacturing, and software development. Internships typically require students to be enrolled in a related degree program and may involve hands-on projects with mentorship and competitive application processes.

What are the most commonly searched types of Spacex Machine Learning jobs in Georgia?

The most popular types of Spacex Machine Learning jobs in Georgia are:

What cities in Georgia are hiring for Internship Spacex Machine Learning jobs?

Cities in Georgia with the most Internship Spacex Machine Learning job openings:

Associate Software Engineer

Jobtailor

Atlanta, GA • On-site

$90 - $130/hr

Other

Posted 5 days ago


Job description

Responsibilities
  • Collaborate with engineers, product managers, and other stakeholders to develop software solutions that meet business and customer needs.
  • Design, develop, test, and maintain software applications, services, and APIs.
  • Contribute to front-end, back-end, or full-stack development initiatives-based project assignments.
  • Participate in code reviews and incorporate feedback to improve code quality and technical skills.
  • Assist with troubleshooting, debugging, and resolving software defects.
  • Develop and maintain integrations with internal and external systems.
  • Work with relational and NoSQL databases to store, retrieve, and manage application data.
  • Support the development and deployment of applications in cloud environments.
  • Write clean, maintainable, and well-documented code following engineering best practices.
  • Participate in Agile development activities, including sprint planning, stand-ups, and retrospectives.
  • Leverage AI-powered development tools and automation technologies to improve productivity, code quality, testing, documentation, and problem-solving.
  • Explore opportunities to incorporate AI and machine learning capabilities into software solutions under the guidance of senior engineers and architects.
  • Continuously develop technical knowledge and skills across all aspects of software engineering — including languages, frameworks, databases, cloud technologies, testing, and engineering best practices — with a curiosity and growth mindset that extends to emerging tools and technologies such as AI and intelligent automation.
Requirements
  • Bachelor's or Master’s degree in computer science, Software Engineering, Computer Engineering, Information Technology, or a related technical field.
  • Understanding of software development fundamentals, including object-oriented programming, data structures, algorithms, and software design principles.
  • Experience with at least one modern programming language such as C#, Java, JavaScript, TypeScript, Python, or similar through coursework, projects, internships, or personal development.
  • Familiarity with web technologies, APIs, and modern software development practices.
  • Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
  • Basic understanding of relational and/or NoSQL database concepts.
  • Experience using Git or other version control systems.
  • Interest in artificial intelligence (AI), machine learning (ML), and emerging technologies, with a willingness to leverage AI-enabled tools in daily workflows.
  • Strong problem-solving, analytical, and communication skills.
  • Ability to learn quickly and collaborate effectively in a team-oriented environment.
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