Senior ML Engineer for Fraud & Trust & Safety

DocuSign, Inc.; Seattle (WA); Hybrid; USD 179,000 - 263,000; Full time

Benefits offered by this job

RSUs

Bonus plan

Job summary

Docusign is seeking a Senior Machine Learning Engineer to advance ML capabilities that detect and prevent abuse and fraud across its products. You will partner with Trust & Safety, Fraud, Engineering, Product, Security, and Data teams to improve detection as patterns evolve.

This hybrid, in-office/remote role reports to the Director of Trust & Safety and requires 8+ years of ML experience, with a focus on production deployment and risk modeling.

Qualifications

• Bachelor’s degree or equivalent experience in a related field.
• 8+ years of related industry experience.
• Experience building and deploying production ML models for fraud/spam/abuse detection.
• Experience applying ML to adversarial domains and risk detection.
• Experience with languages (C#, Java, Go) and ML frameworks.
• Experience building data pipelines with large-scale datasets.
• Experience deploying ML models in distributed systems with attention to latency and scalability.

Responsibilities

• Design, develop, evaluate, and deploy production ML models for fraud, spam, abuse, and other Trust & Safety risks.
• Build risk and reputation scoring using signals such as behavioral, account, and device data.
• Translate detection problems into ML requirements including labels and features.
• Identify emerging abuse patterns and determine ML vs rules-based approaches.
• Develop model outputs to support flagging, throttling, verification, review, or blocking.
• Evaluate detection performance and tradeoffs; assess downstream risk impact.
• Establish model monitoring, retraining, and degradation detection practices.
• Collaborate with cross-functional teams on data and production integration.
• Establish technical direction and foundational ML practices for Trust & Safety and Fraud.

Skills

ML model development

Production ML deployment

Fraud detection

Risk scoring

Go/C#/Java

Data pipelines

MLOps

Observability (Prometheus, Grafana)

Azure DevOps

Model evaluation

Education

Bachelor’s degree or equivalent experience

Tools

Docker

Kubernetes

Prometheus

Grafana

OpenTelemetry

Azure DevOps

Job description

Docusign is seeking a Senior Machine Learning Engineer to advance ML capabilities that detect and prevent abuse and fraud across its products. You will partner with Trust & Safety, Fraud, Engineering, Product, Security, and Data teams to improve detection as patterns evolve.

This hybrid, in-office/remote role reports to the Director of Trust & Safety and requires 8+ years of ML experience, with a focus on production deployment and risk modeling.