Senior Software Engineer, Machine Learning - Fraud

Doordash - Sunnyvale, CA

Full-time - Senior

Hybrid - Sunnyvale, CA

Couriers and Messengers

About the position

The Senior Software Engineer, Machine Learning - Fraud role at DoorDash involves developing and implementing machine learning solutions to enhance anti-fraud systems. The position focuses on creating production-level models that mitigate fraud risks across a vast operational scale, impacting billions of events globally. The role requires collaboration with engineering and product teams, mentoring junior members, and leading cross-functional initiatives to drive significant improvements in fraud detection and prevention.

Responsibilities

• Conceptualize, design, implement, and validate algorithmic solutions to prevent, detect, and mitigate fraud.
• Develop production machine learning solutions to enhance the shopping experience.
• Collaborate with engineering and product leaders to shape the product roadmap in machine learning.
• Mentor junior team members and lead cross-functional pods to create collective impact.

Requirements

• 3+ years of industry experience developing machine learning models and shipping ML solutions to production.
• Experience with PyTorch or TensorFlow or similar deep learning frameworks.
• 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

• 401(k) plan with employer match
• Paid time off
• Paid parental leave
• Wellness benefits
• Medical, dental, and vision benefits
• Disability and basic life insurance
• Family-forming assistance
• Commuter benefit match
• Mental health program
• Paid holidays