обновлено 3 дня назад
Machine Learning Scientist III (Search and Personalization)
149 000 - 208 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Scientist III (Search and Personalization) (Machine Learning, Search, Recommendations): Building and deploying end-to-end machine learning pipelines for travel search, ranking, recommendations, and personalization with an accent on scalable data systems, model monitoring, and responsible AI. Focus on designing low-latency production architectures, measuring impact through A/B testing, and solving complex modeling challenges across flights, cars, packages, and activities.
Location: San Jose, California, United States
Salary: $149,000–$208,500 annual total cash range; potential performance-based pay up to $238,500.
Company
is a global travel company connecting travelers, partners, and advertisers through consumer brands, B2B services, and travel advertising.
What you will do
- Design and deploy end-to-end machine learning model pipelines for ranking, recommendations, search, and personalization.
- Develop scalable data pipelines, data quality checks, and model monitoring for reliable production ML systems.
- Translate business needs into well-scoped machine learning projects with product, analytics, and engineering partners.
- Communicate data-driven findings and influence product and technical decisions.
- Use A/B testing and offline/online evaluation frameworks to measure model impact and guide improvements.
Requirements
- Bachelor’s degree in Computer Science or a related technical field, or equivalent professional experience.
- 5+ years of relevant professional experience applying machine learning or statistical modeling to real business problems.
- Experience with end-to-end model development, from data exploration through evaluation and deployment.
- Proficiency in Python and machine learning frameworks and libraries.
- Ability to define ML tasks, design model and data structures including APIs and data models, and own solutions within a product or service area.
- Experience applying AI/ML concepts to real-world products with attention to safety and reliability.
Nice to have
- Graduate degree in Computer Science, Statistics, Machine Learning, Operations Research, or a related quantitative field.
- Production experience with ranking and recommendation modeling.
- Experience with monitoring, alerting, retraining, model governance, robustness, and fairness.
- Experience designing scalable ML architectures, feature stores, and low-latency, highly available systems.
- Familiarity with natural language search and agentic workflows.
Culture & Benefits
- Collaborative work with product managers, engineers, analysts, and machine learning scientists.
- Medical, dental, and vision coverage.
- Paid time off and an Employee Assistance Program.
- Wellness and travel reimbursement, travel discounts, and IATAN membership.
- Inclusive and accessible recruiting experience with accommodation support.
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