🛠 Tech Stack

💼 About This Role

You'll join the acoustic signals team at Safran.AI, working on deep learning methods to detect and classify sounds from large audio datasets. You'll lead an exploratory project from literature review to experimentation. This internship offers hands-on experience with state-of-the-art AI and a pathway to innovations in defense and industry.

🎯 What You'll Do

• Conduct literature review on deep learning for audio processing
• Design and implement experimental protocols
• Train and evaluate deep learning models on acoustic data
• Present findings and results to the team

📋 Requirements

• Master's level in Mathematics, Applied Math, or Computer Science
• Python programming experience with PyTorch or TensorFlow
• Knowledge of deep learning and machine learning fundamentals
• Linux environment usage

✨ Nice to Have

• Signal processing or physics knowledge
• AWS services (S3, EC2, ECR)
• Proficiency with GitHub and coding best practices

🎁 Benefits & Perks

• 🍽️ Swile card (meal vouchers)
• 🚇 50% transport reimbursement
• 🏋️ On-site gym and wellness activities
• 📚 Skill-building Thursdays with expert speakers

📨 Hiring Process

Recruitment process: 45-min recruiter chat, 45-min manager chat, then a case study presentation to a panel.