Senior ML Engineer

• Design and build core ML models and pipelines for a greenfield ML/AI direction
• Build a real-time ML payment-routing and decisioning system with direct revenue impact
• Conduct hands-on experimentation from ideation through A/B testing to production
• Integrate cutting-edge AI technologies
• Partner with Product, Engineering, and Data Platform teams to solve modeling problems
• Build orchestrated training and analytics pipelines
• Communicate technical results to engineers and cross-functional stakeholders
• Help establish the ML/AI function, team, and standards from the ground up
• Work with 20M+ orders and 100M+ transactions monthly, plus 100+ payment methods and providers

• 4–5+ years in ML or Data Science
• Hands-on production experience with classical predictive models, such as credit scoring, fraud, risk, recommendations, or pricing
• Track record of shipping ML models end-to-end, from idea to production, in a real product environment
• Ability to demonstrate business impact in conversion, approval rate, losses, or revenue
• Strong data science fundamentals
• Hands-on experience with A/B testing and experimentation design
• Feature engineering on high-cardinality transactional data
• Ability to work independently in a greenfield space and own delivery
• Strong communication skills and comfort working with a wide range of stakeholders
• Experience in fintech, payments, fraud, or risk is nice to have
• Experience with real-time or low-latency ML serving is nice to have
• A master's or PhD in a quantitative discipline is nice to have

• 30+ days off
• Unlimited sick leave
• Free office meals
• Health coverage
• Apple gear
• Courses
• Conferences
• Sports and wellness benefits
• Employee referral bonus