Senior ML Engineer – Fraud Detection at Scale

Signifyd; Seattle (WA); On-site; USD 160,000 - 190,000; Full time

Benefits offered by this job

Discretionary Time Off Policy (Unlimited!)

401K Match

Stock Options

Annual Performance Bonus or Commissions

Paid Parental Leave (12 weeks)

On-Demand Therapy for all employees & their dependents

Dedicated learning budget through Learnerbly

Health Insurance

Dental Insurance

Vision Insurance

Flexible Spending Account (FSA)

Short Term and Long Term Disability Insurance

Life Insurance

Company Social Events

Signifyd Swag

Job summary

A leading commerce technology firm in Seattle is seeking a Senior Machine Learning Engineer to enhance fraud detection systems and optimize machine learning capabilities. This role involves owning the full lifecycle of ML projects and collaborating with multiple teams to align technical solutions with business needs. Ideal candidates should have extensive experience in production ML environments, strong technical foundations, and effective communication skills. Benefits include unlimited time off, stock options, and robust health coverage.

Qualifications

• 4-6+ years of post-undergrad work experience in a production-grade ML environment.
• Proven track record of taking ML projects from research/prototype to high-scale production environments.
• Attention to detail is critical in fraud prevention.

Responsibilities

• Identify, prototype, and integrate new ML technologies to enhance fraud detection.
• Own the design and implementation of ML pipeline components.
• Translate business requirements into technical solutions with various teams.

Skills

Machine Learning Theory

Statistical Evaluation

Python

SQL

Spark

Education

Degree in Computer Science, Statistics, or a comparable quantitative field

Tools

ML Libraries

Job description

A leading commerce technology firm in Seattle is seeking a Senior Machine Learning Engineer to enhance fraud detection systems and optimize machine learning capabilities. This role involves owning the full lifecycle of ML projects and collaborating with multiple teams to align technical solutions with business needs. Ideal candidates should have extensive experience in production ML environments, strong technical foundations, and effective communication skills. Benefits include unlimited time off, stock options, and robust health coverage.