6 months ago
Remote, United States +2 moreMid Level / Senior
H1B sponsor
Base Salary
$140k - $190k/yr
Responsibilities
- Identify, prototype, and integrate ML technologies and infrastructure to improve fraud-detection effectiveness and scalability.
- Design and implement ML pipeline components that accelerate experimentation.
- Own high-impact ML projects from offline experimentation through deployment and production monitoring.
- Improve model performance and maintain robust, scalable, and scientifically sound fraud-detection systems.
- Collaborate with Product, Engineering, Platform Engineering, and Risk teams to translate business requirements into technical solutions.
- Champion testing, documentation, model monitoring, and development best practices.
Requirements
- A degree in Computer Science, Statistics, or a comparable quantitative field is required.
- 4–6+ years of post-undergraduate experience in a production-grade machine-learning environment is required.
- Strong knowledge of machine-learning theory, statistical evaluation, and supervised and unsupervised learning at scale is required.
- Demonstrated experience taking ML projects from research or prototype through high-scale production environments is required.
- Proficiency in Python, SQL, key ML libraries, and Spark is required.
- Clear communication with technical and non-technical stakeholders is required.
- Experience in fraud, fintech, payments, or e-commerce is preferred.
- Experience writing well-tested production-grade code is preferred.
- A master’s degree or PhD is preferred.
Benefits
- Remote work is indicated by the #LI-Remote designation.
- Discretionary unlimited time off policy.
- 401(k) match, stock options, and annual performance bonus or commissions.
- 12 weeks of paid parental leave.
- On-demand therapy for employees and dependents.
- Dedicated learning budget through Learnerbly.
- Health, dental, and vision insurance.
- Flexible Spending Account (FSA).
- Short-term and long-term disability insurance.
- Life insurance, company social events, and Signifyd swag.
Tech Stack
Categories
About Signifyd
Signifyd builds a SaaS commerce-protection platform for online retailers, using machine learning to prevent payment fraud and consumer abuse and to automate order decisions. Its products include guaranteed fraud and chargeback protection, account and payment risk assessment, and return‑abuse prevention integrated with ecommerce checkouts. Founded in 2011 and headquartered in San Jose, the privately held company serves enterprise and mid‑market merchants globally and integrates with major ecommerce platforms and payment providers.