Senior Machine Learning Engineer I // II (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building, maintaining, and monitoring production ML models for fraud detection with an accent on model lifecycle management, experimentation frameworks, and scalable infrastructure. Focus on prototyping new ML technologies, enabling high-velocity experimentation, and ensuring robust performance under adversarial conditions.

Location: Denver, CO; Seattle, WA; Chicago, IL (Remote); United States (Remote)

Base Salary: Tier 1 (NYC/SF Bay Area/Seattle): $160,000 - $190,000; Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego): $150,000 - $180,000; Tier 3 (US - All Other): $140,000 - $170,000 annually. Equity: 4,000 stock options. Bonus: up to 10% of base salary.

Company

Fraud prevention platform trusted by merchants worldwide, processing billions of transactions to enable fearless commerce.

What you will do

• Expand ML capabilities by identifying, prototyping, and integrating new technologies for fraud detection.
• Design and implement ML pipeline components to enable high-velocity experimentation.
• Collaborate with Product, Engineering, and Risk teams to align ML solutions with business needs.
• Champion best practices in testing, documentation, model monitoring, and development.
• Own end-to-end lifecycle of high-impact ML projects from experimentation to production deployment.

Requirements

• Degree in Computer Science, Statistics, or comparable quantitative field.
• 4-6+ years post-undergrad experience in production-grade ML environments.
• Strong foundation in ML theory, statistical evaluation, supervised/unsupervised learning at scale.
• Proven track record taking ML projects from prototype to high-scale production.
• Proficiency in Python, SQL, key ML libraries, and Spark.
• Ability to communicate technical findings to technical and non-technical stakeholders.

Nice to have

• Experience in fraud, fintech, payments, or e-commerce.
• Passion for writing well-tested production-grade code.
• Master’s Degree or PhD.

Culture & Benefits

• Discretionary Time Off (Unlimited).
• 401K Match, Stock Options, Annual Performance Bonus.
• Paid Parental Leave (12 weeks), Health/Dental/Vision Insurance, FSA.
• Short/Long Term Disability, Life Insurance, On-Demand Therapy.
• Dedicated learning budget, Company Social Events, hirify.global Swag.