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Senior Machine Learning Scientist
3 meses atrás
About ViatorViator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. With 300,000+ travel experiences to explore—everything from simple tours to extreme adventures—making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary.
Perks of Working at Viator
Competitive compensation packages, including base salary, annual bonus, and equity.
"Work your way" with flexibility to suit your lifestyle.
Flexible schedule for work-life balance.
Donation matching for qualifying charitable donations.
Tuition assistance for qualified programs.
Lifestyle benefit for personal spending.
Travel perks including discounts.
Employee assistance program for life's challenges.
Health benefits with great coverage.
Tripadvisor is looking for a Senior Machine Learning Scientist on our Viator brand. Our team works across exciting problems in e-commerce and travel, including:
Sort & Ranking
User Recommendations
Product Understanding
Pricing
User Acquisition & Retention
Online Advertising
Working across the Viator brand, you will engage in the following disciplines:
Deep Learning
Bayesian Modeling
Large Language Models (LLMs)
Product embeddings
Recommender Systems
Computer Vision
We understand that Machine Learning is a broad and evolving field. Whether you are a seasoned expert in Deep Learning or have a wider range of expertise, you will be encouraged to find your niche to make an impact on our travellers. You will deploy your solutions online and observe your work's impact in real-time via A/B tests as you help the company grow.
What you will bring to the team:
A postgraduate degree in Machine Learning / AI or a related discipline OR demonstrable experience with the data science lifecycle.
Proficiency in Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn).
An understanding of MLOps and best practices around experimentation, deployment, and monitoring.
A flair for business understanding, with the ability to communicate effectively with various audiences.
We strive to create an accessible and inclusive experience for all candidates.
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