Software Engineer, Machine Learning - Fraud
DoorDash · San Francisco, California, US
About the Team The Fraud Machine Learning team builds cutting edge models that play central roles in our important anti-fraud systems. We operate at a massiv...
Job description
About the Team 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! About the Role: We’re looking for a passionate Applied Machine Learning engineer to join our team. As a Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic solutions to prevent, detect and mitigate fraud. You are excited about opportunities to introduce step function changes to our risking system. You will demonstrate a command of production level machine learning, experience solving end-user problems, and collaborate well with multi-disciplinary teams. You will report into the engineering manager on our Fraud Machine Learning team in our Operation Excellence organization. Once our offices reopen, we expect this role to be hybrid with some time in-office and some time remote. You're excited about this opportunity because you will... You can find out more on our ML blog here We're excit...