Machine Learning Engineer (Competitive Intelligence)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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 , Inc. has a registered entity.
Salary: $196,000 — $227,000 USD
Company
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 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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