Senior Machine Learning Engineer I // II

Job Overview

At Signifyd , we help merchants confidently grow their businesses by building trusted relationships with their customers.

Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.

Job Description

Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity.

Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here ! The Senior Machine Learning Engineer will join our ML team.

This includes the core fraud detection model that decides the majority of our traffic, alongside our model training and evaluation infrastructure.

We work closely with Platform Engineering teams to contribute novel modeling methods, advanced feature engineering, and robust statistical practices. Our Culture We value tenacity, curiosity, and a hunger for learning.

Our adversaries are highly motivated fraudsters looking to exploit any gap. We seek equally motivated individuals who are passionate about keeping our customers safe while pulling the field of adversarial machine learning forward.

Key Responsibilities

• At Signifyd , we help merchants confidently grow their businesses by building trusted relationships with their customers.
• Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year.
• This team is responsible for building, maintaining, and monitoring the production ML models and offline experimentation frameworks that are at the core of Signifyd’s product.
• The Role As a Senior Machine Learning Engineer , you will be a driver of technical execution within the ML team.
• You won’t just build models-you’ll own the end-to-end lifecycle of high-impact ML projects, from offline experimentation to deployment to production.
• You will be responsible for improving model performance, refining our experimentation processes, and ensuring our fraud detection systems are robust, scalable, and scientifically sound.
• Responsibilities: Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
• Lead & Grow – Drive high-visibility initiatives and develop leadership skills in a fast-paced, high-growth environment.

Required Skills and Qualifications

• Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.
• Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud.
• Experience: 4-6+ years of post-undergrad work experience in a production-grade ML environment.
• Technical Depth: Strong foundation in machine learning theory, statistical evaluation, and experience with supervised/unsupervised learning at scale.
• To demonstrate this, please start your response to the first application question with the word 'Stochastic' Nice to have: Previous experience in fraud, fintech, payments, or e-commerce.
• Lead & Grow – Drive high-visibility initiatives and develop leadership skills in a fast-paced, high-growth environment.
• The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions.
• We want to provide an inclusive interview experience for all, including people with disabilities.

Benefits and Perks

• #LI-Remote Benefits in our US offices: 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 Compensation: In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position.
• Base Salary Ranges by Pay Zone: Tier 1 (NYC/SF Bay Area/Seattle): $160,000 - $190,000 annually Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego):$150,000 - $180,000 annually Tier 3 (US - All Other): $140,000 - $170,000 annually Equity: This role is eligible for a stock option grant of 4,000 stock options, based on the position level and internal compensation guidelines.
• Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary.

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

Signifyd is the organization connected with this listing. USA Jobs Today displays this opportunity for job discovery only, so applicants should verify company details, application instructions, and eligibility on the official employer website.