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1 день назад

Machine Learning Engineer Iii

146 000 - 204 500$
Формат работы
hybrid
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

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TL;DR

Machine Learning Engineer III: Designing and scaling intelligent systems that power Expedia’s global travel marketplace with an accent on content enrichment, quality enhancement, and personalized travel recommendations. Focus on optimizing real-time pricing and inventory, detecting anomalies, and mitigating fraud to ensure high-quality traveler experiences.

Location: United States - Washington - Seattle

Salary: $146,000.00 to $204,500.00

Company

hirify.global brands power global travel for everyone, everywhere.

What you will do

  • Collaborate in cross-functional teams to design and develop large-scale batch and real-time ML solutions.
  • Propose, lead, and implement innovative ML applications across Pricing, Inventory, Content, and Trust & Safety.
  • Lead end-to-end lifecycle for mid- to large-scale ML projects, from design to deployment.
  • Establish and promote best practices, industry standards, and high-quality methodologies.
  • Mentor junior engineers, fostering best practices for integrating ML into existing systems.
  • Work on cross-organizational initiatives, solving complex technical challenges, and innovate to enhance performance and scalability.

Requirements

  • 5+ years of experience for a Bachelor's degree, or 3+ years for a Master's degree in a software engineering role; or equivalent related professional experience.
  • Proficiency in Python and Scala (or Java).
  • Expertise in Big Data technologies such as Hadoop, Hive, or Spark.
  • Proven ability to productionize Machine Learning models, including feature engineering, scalability, validation, and deployment.

Nice to have

  • Strong experience with cloud platforms such as AWS, EMR, Kubernetes, and Docker.
  • Experience building real-time applications, preferably with Spark.
  • Proficiency with ML platforms like Databricks or SageMaker, and libraries such as PyTorch or TensorFlow.
  • Hands-on experience with workflow orchestration tools (e.g., Airflow, Flyte).
  • Experience in the e-commerce or travel industry.

Culture & Benefits

  • Full benefits package, including travel perks, generous time-off, parental leave, and career development resources.
  • Flexible work model with cool offices.
  • Wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.

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