🛠 Tech Stack

💼 About This Role

You'll lead a team of ML engineers building fraud detection models at Affirm, a fintech company reinventing credit. You'll define the technical strategy for fraud detection and drive adoption of advanced techniques like representation learning. This role offers the chance to shape high-impact ML systems in a remote-first environment.

🎯 What You'll Do

• Set technical and modeling strategy for fraud detection.
• Lead ML engineers in designing and iterating on fraud models.
• Drive adoption of advanced modeling techniques like transformers.
• Partner cross-functionally with Product, Analytics, and Risk teams.

📋 Requirements

• Bachelor's in technical field with 8+ years industry experience.
• 3+ years managing engineers.
• Experience with modern ML approaches like deep learning and transformers.
• Proven ability to lead teams delivering production ML solutions.

✨ Nice to Have

• Experience with representation learning.
• Track record of effective cross-functional collaboration.
• Ability to operate in ambiguous, fast-evolving environments.

🎁 Benefits & Perks

• 🏖️ Flexible time off
• 🏥 100% subsidized medical, dental, vision for you and dependents
• 💰 Equity rewards via Affirm Holdings
• 🍱 Flexible Spending Wallets for tech, food, lifestyle
• 📈 ESPP - employee stock purchase plan at discount

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical screen· 60 min
3. 3Onsite interviews· 4 hours