🛠 Tech Stack

💼 About This Role

You'll develop and evaluate machine learning systems for fraud detection and authentication using multimodal data. You'll prototype new research ideas and benchmark against industry standards. This internship offers hands-on experience with cutting-edge AI/ML techniques in a world-class research team.

🎯 What You'll Do

• Design and implement advanced ML models for fraud detection and authentication
• Prototype and validate new research ideas with state-of-the-art AI/ML techniques
• Analyze and model multimodal data including speech, audio, and video
• Benchmark models on internal and public datasets against state-of-the-art methods

📋 Requirements

• Active enrollment in a PhD program in a quantitative field
• Experience in fraud detection, authentication, or speech processing
• Python skills required
• Experience with ML frameworks such as PyTorch, TensorFlow, or Keras

✨ Nice to Have

• Experience with ML, speech, vision, or security-related challenges and benchmarks
• Experience with C/C++
• Deep knowledge of biometrics, authentication, or fraud concepts

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 💰 Competitive compensation including RSUs
• 🏠 Remote-first environment with flexible work
• 🏥 Generous health plans including HSA employer contribution

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min