Senior ML Engineer - Fraud & Trust Safety

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

Benefits offered by this job

Bonus eligibility

RSUs

Paid time off

Parental leave

Health benefits

Retirement plans

Learning and development

Compassionate care leave

Job summary

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

This individual contributor role reports to the Director of Trust & Safety and supports production ML models and risk scoring with a hybrid in-office/remote work arrangement.

Qualifications

• Bachelor’s degree or equivalent experience and 8+ years in related industry.
• Experience developing, deploying, operating, and measuring production ML models including supervised/unsupervised learning.
• Experience applying ML to fraud, abuse, risk, or cybersecurity domains.
• Experience solving detection problems with evolving signals and attacker behavior.
• Experience building data pipelines and deploying ML in distributed systems.

Responsibilities

• Design, develop, evaluate, and deploy production ML models for fraud, spam, abuse, and other Trust & Safety risks.
• Build risk and reputation scoring using behavioral, account, network, device, and content signals.
• Translate detection problems into ML requirements: labels, features, evaluation, success criteria.
• Identify emerging abuse patterns and determine ML vs rules approaches.
• Develop model outputs to support flagging, throttling, verification, review, or blocking.
• Evaluate detection performance and tradeoffs; manage downstream risk impact.
• Establish model monitoring, retraining, and degradation detection practices.
• Collaborate with Trust & Safety, Fraud, Engineering, Data, Product and Security on integration.

Skills

ML modeling

Fraud/abuse detection

MLOps

Docker & Kubernetes

Azure DevOps

Big data processing

Python/Java/C#

Model evaluation

Production deployment

Education

Bachelor’s degree or equivalent experience

Tools

Docker

Kubernetes

Prometheus

Grafana

OpenTelemetry

Jaeger

Azure DevOps

Job description

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

This individual contributor role reports to the Director of Trust & Safety and supports production ML models and risk scoring with a hybrid in-office/remote work arrangement.