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12 часов назад

Machine Learning Engineer, Payment Data Intelligence (Fintech)

136 800 - 359 720$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Engineer, Payment Data Intelligence (Fintech): Building advanced machine learning and data science solutions for payment services, fraud prevention, compliance, and user experience optimization with an accent on large-scale payment data, model lifecycle ownership, and robust algorithms. Focus on improving modeling infrastructure, applying DNN and LLM technologies, and solving privacy, risk, and payment intelligence challenges.

Location: San Jose, United States; fully in-person schedule up to 5 days a week

Salary: $136,800–$359,720 annually

Company

hirify.global operates TikTok-related apps and focuses on data privacy, cybersecurity, trust and safety, and protecting U.S. user data.

What you will do

  • Translate payment business problems into data science and algorithm solutions.
  • Build machine learning solutions for fraud prevention, user experience customization, campaign management, risk, compliance, and payment services.
  • Own the end-to-end model solution lifecycle and work with stakeholders to deliver business impact.
  • Improve modeling infrastructure, labels, features, and algorithms for robustness, automation, and generalization.
  • Apply advanced AI technologies, including DNNs and LLMs, to payment data solutions.
  • Advance machine learning practices in privacy, compliance, interoperability, risk perception, and analysis.

Requirements

  • Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field.
  • 3+ years of applied machine learning experience, preferably in risk management or trust and safety.
  • Proficiency in data processing and analytics in big-data environments using SQL, Hive, Spark, or similar tools.
  • Mastery of at least one data science programming language, such as Python, Java, or Scala.
  • Ability to work fully in person in San Jose, up to five days per week.

Nice to have

  • Experience in the payment or fintech industry.
  • E-commerce or payment compliance experience.
  • Experience applying and customizing LLMs.

Culture & Benefits

  • Medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match.
  • Paid parental leave, disability coverage, life insurance, and wellbeing benefits.
  • 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
  • Inclusive workplace focused on curiosity, humility, creativity, resilience, and continuous learning.

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