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15 часов назад

Senior And Staff Machine Learning Engineers (Fintech)

Формат работы
remote
Тип работы
fulltime
Грейд
senior
Английский
b2
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 And Staff Machine Learning Engineers (Fintech): Building and optimizing ML-driven risk solutions to detect and prevent fraud and abuse across Cash App and Square with an accent on scalability and adversarial ML. Focus on designing end-to-end ML systems, implementing LLMs for customer support, and improving credit underwriting models.

Location: Remote

Company

hirify.global builds financial tools like Square, Cash App, and Afterpay to create an open economy.

What you will do

  • Design and productionize ML-driven risk solutions for fraud and abuse prevention at scale.
  • Own end-to-end ML systems from problem definition and modeling to deployment, monitoring, and iteration.
  • Lead technical decision-making within workstreams and influence overall ML strategy and planning.
  • Develop tooling and processes to improve the speed, reliability, and impact of the ML development lifecycle.
  • Investigate emerging fraud and risk patterns to proactively inform product safeguards and policy.
  • Collaborate with ML platform and engineering teams to ensure models operate reliably in real time.

Requirements

  • 8+ years of industry experience in machine learning, applied AI, or related fields.
  • Bachelor's degree in a quantitative field (Computer Science, Engineering, Statistics, Physics, Applied Math).
  • Proven experience independently designing, deploying, and maintaining ML solutions in production.
  • Strong familiarity with tree-based models, deep learning, transfer learning, or reinforcement learning.
  • Experience influencing technical direction and collaborating with cross-functional partners at scale.
  • Strong communication skills, sound judgment, and an ownership mindset.

Nice to have

  • Master's or PhD in a quantitative field.
  • Background in adversarial ML, NLP/LLMs, credit modeling, or model validation.

Culture & Benefits

  • Remote work flexibility.
  • Comprehensive medical insurance and modern family planning.
  • Flexible time off and retirement savings plans.
  • Mission-driven culture focused on global economic empowerment.

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