Senior Machine Learning Scientist, Payments (AI)

TL;DR

Senior Machine Learning Scientist, Payments (AI): Leading ML initiatives for payments, focusing on turning ambiguous business problems into scalable solutions that power millions of secure transactions worldwide with an accent on authorization rates, false decline reduction, and cost optimization. Focus on implementing robust monitoring, incident playbooks, and model lifecycle hygiene to elevate reliability and safety.

Location: Must be based in Seattle or San Jose.

Salary: $187,000.00 to $261,500.00 in San Jose.

Company

hirify.global brands power global travel for everyone, everywhere by designing cutting-edge tech to make travel smoother and more memorable, and creating groundbreaking solutions for partners.

What you will do

• Lead ML for Payments, setting the roadmap, shaping best practices, and mentoring scientists/engineers.
• Partner with Product & Payments Engineering to co-define problems and align on KPIs.
• Ship production models end-to-end, owning problem framing, data exploration, and deployment.
• Implement robust monitoring and model lifecycle hygiene.
• Communicate findings and trade-offs to technical and non-technical stakeholders.
• Contribute to ML standards and reusable features across hirify.global.

Requirements

• Bachelor's, Master's, or PhD in Computer Science, Statistics, Engineering, or a related field.
• 7+ years (with a Bachelor’s), 5+ years (with a Master’s), or 4+ years (with a PhD) of professional experience in data science or machine learning roles.
• Proficient coding skills in Python or Scala.
• Deep expertise in machine learning theory and learning algorithms.
• Ability to design end-to-end ML solutions based on business requirements.
• Proficient communication and stakeholder management skills.

Nice to have

• Experience in payments or financial systems.
• Hands-on experience building and deploying models using GenAI / LLM technologies.
• Familiarity with multi-armed bandits, anomaly detection, and binary classification models.
• Experience leading ML initiatives with a product-focused mindset.

Culture & Benefits

• Full benefits package, including travel perks and generous time-off.
• Flexible work model with cool offices.
• Career development resources.
• Wellness & travel reimbursement and travel discounts.
• Employee Assistance Program.