Software Engineer, Machine Learning - Fraud
DoorDash · Sunnyvale, CA | San Francisco, CA · 341 Executive Engineering
About this role
DoorDash is hiring a mid-level Machine Learning Engineer based in Sunnyvale, CA | San Francisco, CA. The posting calls out experience with Java, Scala, Kotlin, TensorFlow. Compensation is listed at $137,100–$201,600 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Sunnyvale, CA | San Francisco, CA
- Department
- 341 Executive Engineering
More roles at DoorDash
Job description
from DoorDash careers
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 RoleWe’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...- 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