Principal Applied Scientist - Catalog/Search Ranking (all genders)
Tasks
- Advise senior leadership on investments
- Architect deep learning systems
- Build transformer-based models
- Collaborate with applied science leaders
- Collaborate with product managers
- Deploy machine learning models
- Design ranking and personalization algorithms
- Develop reinforcement learning models
- Drive delivery projects to production
- Implement long term research roadmaps
- Mentor senior scientists
- Optimize multi objective models
- Research machine learning solutions
- Test machine learning models in production
Perks/Benefits
- Discounts
- Employee shares program
- Family services
- Hybrid work
- Mental health support
- Paid volunteering days
- Peer review
- Relocation assistance
- Remote work
- Training platform
- Wellbeing benefits
- Work from abroad
Skills/Tech-stack
AWS | Decision Making | Deep learning | Machine Learning | Multi-Armed Bandits | Multi-Objective Optimization | Objective optimization | Personalization | PyTorch | Python | Ranking | Reinforcement Learning | Sequential decision making | TensorFlow | Transformers
Education
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