19 days ago
Remote, AmericasSenior / Staff+
H1B sponsor
Responsibilities
- Design, build, and ship end-to-end ML systems for payments fraud and risk, including data pipelines, models, and serving layers.
- Develop and productionize tree-based models, neural sequence models, transformers, and embeddings for transactional and behavioral data.
- Architect safe and reliable modeling systems for high-scale, adversarial environments.
- Partner with engineering, product, and risk experts to translate fraud patterns into concrete modeling problems.
- Own the full model lifecycle from problem scoping and feature design through training, evaluation, deployment, monitoring, and iteration.
- Analyze payments and fraud ecosystems to identify attack vectors, risk surfaces, and opportunities for protective products.
- Contribute to and use Shopify’s internal AI tooling and platforms.
- Mentor applied scientists and machine learning engineers on modeling, experimentation, and system design.
Requirements
- Significant Senior- or Staff-level experience building production ML systems as an Applied Scientist or Machine Learning Engineer, rather than only prototypes.
- Strong coding skills in a production language such as Python, Ruby, or Go, with practical software engineering and system-design experience.
- Deep hands-on production experience with tree-based models such as XGBoost or LightGBM.
- Deep hands-on experience with neural sequence architectures such as transformers, RNNs, attention-based models, and embeddings.
- Track record of owning end-to-end ML solutions from data exploration and feature engineering through deployed and monitored services.
- Experience in fraud, risk, trust and safety, abuse detection, security, or similar adversarial domains; alternatively, strong payments experience with an interest in risk.
- Strong product and systems thinking, including understanding how models affect user experience, operations, and the broader payments ecosystem.
- Ability to work through ambiguity, form opinions from data, and move projects from idea to production without a detailed playbook.
- Clear communication skills with technical peers and non-technical stakeholders.
- Preferred experience includes real-time decisioning systems, streaming features, low-latency scoring, financial crime, KYC/KYB, chargebacks, card network rules, or foundation-model-style systems for transactions, logs, or graphs.
Categories
About Shopify
Shopify is a leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. Shopify makes commerce better for everyone with a platform and services that are engineered for reliability, while delivering a better shopping experience for consumers everywhere. Shopify powers millions of businesses in more than 175 countries and is trusted by brands such as Allbirds, Gymshark, PepsiCo, Staples, and many more. Find all our jobs here: www.shopify.com/careers