Назад
Company hidden
3 дня назад

Senior Machine Learning Engineer (Fintech)

196 000 - 245 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Machine Learning Engineer (Fintech): Developing and optimizing real-time fraud detection systems to protect customers and minimize risk with an accent on adversarial machine learning and large-scale production deployment. Focus on implementing graph-based methods, sequence models, and rigorous evaluation methodologies for highly imbalanced datasets.

Location: Hybrid (Seattle, WA) - In-office expectation of at least 50% of the time monthly.

Salary: $196,000–$245,000

Company

hirify.global provides secure, simple, and reliable ways for customers to send and manage money globally.

What you will do

  • Design and build ML models and systems to identify risky transactions and behavior in production.
  • Implement advanced modeling techniques for adversarial domains, including graph-based methods and anomaly detection.
  • Develop rigorous offline and online evaluation methodologies for extreme class imbalance and adversarial drift.
  • Translate prototypes into reliable production systems meeting real-time latency and monitoring requirements.
  • Mentor the team and raise the scientific bar through experiment design reviews and research integration.
  • Collaborate with data scientists and risk operations to translate emerging fraud patterns into modeling opportunities.

Requirements

  • Degree in Computer Science, ML, Statistics, or a related quantitative field.
  • 5+ years of experience building and deploying ML systems from idea to production.
  • Strong grounding in ML fundamentals and experimental design.
  • 5+ years of Python programming experience.
  • Hands-on experience with PyTorch, XGBoost/LightGBM, and scikit-learn.
  • Experience with cloud platforms such as AWS, GCP, or Azure.

Nice to have

  • Experience in fraud, risk, abuse, or trust and safety domains.
  • Publications, patents, or open-source research contributions.
  • Expertise in graph ML, sequence modeling, causal inference, or LLM applications for risk.

Culture & Benefits

  • Flexible paid time off.
  • Comprehensive health, dental, and vision insurance.
  • 401k plan with company matching.
  • Paid parental, medical, military, and family care leave.
  • Employee Stock Purchase Plan (ESPP) and continuing education support.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →