Senior ML Engineer – Fraud Detection at Scale

Signifyd; Denver (CO); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Discretionary Time Off Policy (Unlimited!)

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

Short Term and Long Term Disability Insurance

Life Insurance

Company Social Events

Signifyd Swag

Job summary

A leading fraud prevention technology company in Denver is seeking a Senior Machine Learning Engineer to enhance fraud detection systems. This role involves ownership of high-impact ML projects from experimentation to production. The ideal candidate has 4-6 years of experience in ML environments, strong Python and SQL skills, and a degree in a relevant field. You will work with cross-functional teams to drive technological advancements and improve model effectiveness. The position offers competitive compensation and a collaborative work culture.

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.
• Ability to communicate technical findings clearly to both technical peers and non-technical stakeholders.

Responsibilities

• Identify, prototype, and integrate new ML technologies.
• Design and implement ML pipeline components for innovation.
• Collaborate with Product, Engineering, and Risk teams.

Skills

Machine Learning Theory

Statistical Evaluation

Supervised Learning

Unsupervised Learning

Python

SQL

Spark

Communication Skills

Education

Degree in Computer Science, Statistics, or comparable field

Job description

A leading fraud prevention technology company in Denver is seeking a Senior Machine Learning Engineer to enhance fraud detection systems. This role involves ownership of high-impact ML projects from experimentation to production. The ideal candidate has 4-6 years of experience in ML environments, strong Python and SQL skills, and a degree in a relevant field. You will work with cross-functional teams to drive technological advancements and improve model effectiveness. The position offers competitive compensation and a collaborative work culture.