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2 дня назад

Senior Machine Learning Engineer (AI)

184 500 - 258 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Machine Learning Engineer (AI): Designing, deploying, and scaling robust ML models to optimize travel supply connection, pricing, and surfacing across a global marketplace with an accent on system design and production-grade ML infrastructure. Focus on building scalable microservices, optimizing high-volume prediction workloads, and driving operational excellence in model observability and reliability.

Location: Seattle, WA, United States. Flexible work model.

Salary: $184,500 – $258,000

Company

hirify.global is a global travel technology platform powering multiple travel brands to make travel smoother and more memorable for everyone.

What you will do

  • Design and evolve scalable ML systems, including low-level design (LLD), API design, and data modeling.
  • Own end-to-end delivery of ML features from problem framing and data sourcing to deployment and monitoring.
  • Collaborate with cross-functional teams to translate ambiguous business problems into clear ML-driven solutions.
  • Drive operational excellence through improved observability, security, and experimentation best practices.
  • Mentor other engineers and data practitioners via technical design reviews and knowledge sharing.
  • Integrate AI/ML-enabled solutions into real-world products to improve business outcomes.

Requirements

  • Bachelor’s degree in Computer Science or equivalent professional experience.
  • 8+ years of relevant professional experience.
  • Proficiency in Python or Java with deep understanding of software engineering and ML fundamentals.
  • Experience with microservice architectures and large-scale data pipelines.
  • Hands-on experience operating and monitoring ML workflows in production environments.
  • Must be authorized to work in the United States.

Nice to have

  • Experience with high-volume, low-latency prediction workloads or large-scale batch inference.
  • Proven track record of implementing CI/CD for models, feature stores, or model registries.
  • Familiarity with distributed training frameworks and inference optimization techniques.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance.
  • Generous paid time off and parental leave.
  • Wellness and travel reimbursements, plus travel discounts.
  • International Airlines Travel Agent (IATAN) membership.
  • Flexible work model and career development resources.

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