🛠 Tech Stack

💼 About This Role

You'll drive generative AI and agentic AI models for a publicly traded identity intelligence company. Your core impact is building scalable solutions for fraud detection and risk management. This role balances research with hands-on productization in a fast-moving environment.

🎯 What You'll Do

• Research and develop generative AI and deep learning models
• Design and deploy agentic AI systems for fraud detection
• Partner with scientists and engineers to build scalable solutions
• Balance experimentation with product impact

📋 Requirements

• Ph.D. in CS or AI with focus on generative AI, agentic AI, or deep learning
• 7+ years applied research in AI
• Experience with LLMs, agentic systems, or graph neural networks
• Proficiency in Python or C++ and AI frameworks like PyTorch or TensorFlow

✨ Nice to Have

• Experience with RLHF/DPO and LoRA/PEFT
• AWS certifications related to generative AI
• Published research at top-tier conferences

🎁 Benefits & Perks

• 📈 Stock (RSU) grants
• 💰 401K with generous company match
• 🏖️ Flexible PTO
• 🏥 Medical, dental, vision coverage
• 🍏 In-office healthy snacks

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical phone interview· 60 min
3. 3Onsite interviews (4-5 rounds)· 4 hours