Senior ML Engineer – Fraud Detection at Scale

Signifyd; Chicago (IL); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Unlimited Discretionary Time Off

401K Match

Stock Options

Annual Performance Bonus

Paid Parental Leave (12 weeks)

On-Demand Therapy

Dedicated learning budget

Health Insurance

Dental Insurance

Vision Insurance

Flexible Spending Account

Disability Insurance

Life Insurance

Company Social Events

Signifyd Swag

Job summary

A technology-driven company in Chicago is hiring a Senior Machine Learning Engineer to enhance fraud detection capabilities. In this role, you will manage high-impact ML projects, oversee the ML lifecycle, and collaborate across teams to ensure robust solutions meet customer needs. A deep understanding of machine learning theory and proficiency in Python and SQL are essential. With competitive compensation and benefits, this is an opportunity to make a significant impact in a fast-paced environment.

Qualifications

• 4-6+ years of experience in a production-grade ML environment.
• Strong foundation in machine learning and statistical evaluation.
• Ability to take ML projects from prototype to production.

Responsibilities

• Identify and prototype new ML technologies to enhance fraud detection.
• Own the design of ML pipeline components for innovation.
• Partner with cross-functional teams to align ML initiatives.

Skills

Machine learning theory

Statistical evaluation

Python

SQL

ML libraries

Spark

Communication

Education

Degree in Computer Science, Statistics, or a quantitative field

Job description

A technology-driven company in Chicago is hiring a Senior Machine Learning Engineer to enhance fraud detection capabilities. In this role, you will manage high-impact ML projects, oversee the ML lifecycle, and collaborate across teams to ensure robust solutions meet customer needs. A deep understanding of machine learning theory and proficiency in Python and SQL are essential. With competitive compensation and benefits, this is an opportunity to make a significant impact in a fast-paced environment.