Senior Machine Learning Engineer - Remote

Overview

The Fraud Machine Learning team builds cutting edge models that play central roles in our important anti-fraud systems. We operate at a massive scale, risking billions of events across 20+ countries. We are looking for ML experts who can help us push the technology boundaries and make DoorDash the world’s most safe logistics engine!

In Short

• Develop production machine learning solutions to build a safe and frictionless shopping experience for a diverse and expanding retail space.
• Partner with engineering and product leaders to help shape the product roadmap applying ML.
• Mentor junior team members, and lead cross functional pods to create collective impact.

Requirements

• 3+ years of industry experience developing machine learning models (both classical and deep learning) and shipping ML solutions to production.
• Experience with PyTorch or TensorFlow or similar deep learning framework.
• M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Bioinformatics, Economics, or other quantitative fields.
• Familiarity with a JVM language (Kotlin/Scala).
• Familiarity with multi-task learning, LLMs and anomaly detection.
• Fraud domain knowledge.

Benefits

• Comprehensive benefits package including 401(k) plan with employer match.
• Paid time off and paid parental leave.
• Medical, dental, and vision benefits.
• Disability and basic life insurance.
• Mental health program.