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2 дня назад

Senior Machine Learning Scientist, Payments

173 000 - 242 500$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Scientist, Payments: Lead the development and deployment of machine learning models for payment processing with an accent on improving authorization rates, reducing fraud, and optimizing costs. Focus on implementing robust monitoring, ensuring model reliability, and communicating findings to stakeholders.

Location: Seattle HQ / San Jose HQ

Salary: $173,000.00 to $242,500.00 in Seattle, $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.

What you will do

  • Lead ML initiatives for Payments, setting the roadmap and mentoring other scientists/engineers.
  • Partner with Product & Payments Engineering to define problems and discover ML opportunities.
  • Own the end-to-end process of shipping production models, from problem framing to deployment and monitoring.
  • Implement robust monitoring for drift, stability, performance, and fairness.
  • Communicate findings and trade-offs to both 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 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 and cross-functional collaboration.

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.
  • International Airlines Travel Agent (IATAN) membership.

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