Senior Principal Applied Scientist - Ranking and Recommendations (all genders)
Tasks
- Advise on investment and strategy
- Architect machine learning systems
- Build recommender systems
- Deploy machine learning models
- Develop ranking and recommendation algorithms
- Drive production delivery projects
- Implement multi-objective optimization
- Lead scientific roadmap
- Mentor senior and principal scientists
- Partner with applied science and product teams
- Research machine learning solutions
Perks/Benefits
- Additional holidays
- Employee discounts
- Extensive onboarding
- Flexible working hours
- Free beverages
- Free fruits
- Great IT equipment
- Internal technical guilds
- International team
- Knowledge sharing tech talks
- Mentoring
- Open source commitment
- Parent and child rooms
- Personal development opportunities
- Public transport discounts
- Relocation assistance
- Tech Academy
- Volunteering time off
Skills/Tech-stack
AWS | Cloud Computing | Decision Making | Deep learning | Deep reinforcement learning | Machine Learning | Multi-Armed Bandits | Multi-Objective Optimization | Objective optimization | PyTorch | Python | Ranking Systems | Recommendation Systems | Recommender Systems | Reinforcement Learning | Sequential decision making | TensorFlow
Education
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