19 days ago
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, neural sequence, transformer, and embedding-based models across transactional and behavioral data.
- Architect safe and reliable model-driven systems for high-scale, adversarial environments.
- Partner with engineering, product, and risk experts to turn real-world fraud patterns into modeling problems.
- Own the model lifecycle from scoping, feature design, training, and evaluation through deployment, monitoring, and iteration.
- Analyze payment and fraud ecosystems to identify attack vectors, risk surfaces, and opportunities for protective products.
- Contribute to Shopify’s internal AI tooling and platforms.
- Mentor applied scientists and ML engineers on modeling, experimentation, and system design.
Requirements
- Significant senior or staff-level experience as an Applied Scientist or Machine Learning Engineer building production ML systems rather than prototypes.
- Strong coding skills in a production language such as Python, Ruby, or Go, plus hands-on software engineering and system-design ability.
- Deep production experience with tree-based models such as XGBoost and LightGBM or equivalent.
- Hands-on experience with neural sequence architectures such as transformers, RNNs, and attention-based models, as well as 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, or broader payments experience with interest in risk.
- Strong product and systems thinking, practical judgment, independent problem-solving, and ability to move projects from idea to production.
- Clear communication skills with technical peers and non-technical stakeholders.
- Preferred experience with real-time decisioning, streaming features, low-latency scoring, financial crime, KYC/KYB, chargebacks, card-network rules, or foundation-model-style systems for non-text domains.
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