Internship – AI Software Engineer

July 7, 2025
$24 / hour

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Job Description

About the Company:

Safran is an international high-technology group operating in the aviation (propulsion, equipment, and interiors), defense, and space markets. Their core purpose is to contribute to a safer, more sustainable world, where air transport is more environmentally friendly, comfortable, and accessible. Safran has a global presence, with 100,000 employees and sales of 27.3 billion euros in 2024, and holds world or regional leadership positions in its core markets. Safran Cabin designs, certifies, manufactures, and supports innovative aircraft cabin interiors, equipment, and systems, providing airlines and OEM Customers with distinctive aircraft branding, and their passengers with a safe, comfortable, and enjoyable flying experience.

Job Description:

This is a 3-6 month Internship as an AI Software Engineer at Safran Cabin in Carson, CA. The internship has the potential to convert to full-time employment. The role is for 29 hours/week and must be onsite. No relocation benefits are provided.

As an AI Software Engineer Intern, you will play a pivotal role on the Engineering team, assisting senior engineers in designing, building, and deploying machine learning (ML) models and AI solutions. You will work closely with data scientists and software engineers to integrate ML models into production environments, ensuring productivity and efficiency in machine learning projects.

Key Responsibilities:

• Researching, developing, and implementing ML algorithms and models and AI Solutions.
• Designing and building scalable ML systems and AI solutions.
• Running experiments, testing AI systems, and performing statistical analyses to improve model accuracy.
• Managing data pipelines and ensuring data quality.
• Collaborating with data scientists, product owners, and stakeholders to manage the model development pipeline.
• Advocating for machine learning best practices and continuous improvement.
• Troubleshooting and addressing problems with deployed AI systems.
• Documenting all steps in the development process.