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1 день назад

Machine Learning Engineer (Competitive Intelligence)

196 000 - 227 000$
Формат работы
remote (только USA)/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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Описание вакансии

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TL;DR

Machine Learning Engineer (Python/AI): Building and optimizing ML systems for competitive intelligence to analyze global travel market pricing and supply with an accent on large-scale data extraction and entity resolution. Focus on designing end-to-end ML pipelines, implementing transformer-based architectures, and translating market signals into actionable business strategies.

Location: Remote Eligible (US). Must reside in a state where hirify.global, Inc. has a registered entity.

Salary: $196,000 — $227,000 USD

Company

hirify.global is a global marketplace for unique stays and experiences, connecting millions of hosts and guests worldwide.

What you will do

  • Design and deploy ML models to extract supply availability, pricing patterns, and market saturation from global competitors.
  • Build and maintain end-to-end ML pipelines, including feature engineering, offline training, and low-latency online serving.
  • Implement entity resolution and matching techniques using embedding models, gradient boosted trees, and transformer-based architectures.
  • Collaborate with crawling infrastructure, data engineers, and product teams to define ML problem formulations.
  • Conduct offline and online experiments to evaluate model quality and inform pricing and supply growth strategies.

Requirements

  • 5–10 years of professional experience in applied Machine Learning with a track record of deploying models at global scale.
  • Must be based in the US (residing in a state where hirify.global has a registered entity).
  • Proficiency in Python (required), with experience in Scala or Java for backend systems.
  • Deep knowledge of ML fundamentals (feature engineering, A/B testing, training/serving skew mitigation) and algorithms (GBDTs, neural networks, transformers).
  • Hands-on expertise with TensorFlow or PyTorch.
  • Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related technical field.

Culture & Benefits

  • Remote-eligible work environment with occasional office visits or offsites.
  • Compensation package including base pay, bonus, and equity.
  • Employee Travel Credits for exploring the world.
  • Inclusive work environment with a strong commitment to diversity and disability accessibility.

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