Senior Applied Scientist
Core
Designing and implementing scalable machine learning solutions, building models and pipelines, and conducting rigorous experiments to improve AI-powered experiences.
Role type
Senior Applied Scientist (ML/Deep Learning)
Builds
Production ML models, data pipelines, and AI-powered product features
Domain
Machine Learning, Deep Learning, Data Mining, Cloud Computing
Deliverable
production ML models | product features
Required skills
Deep learning, large-scale data mining, distributed systems programming, A/B testing, reinforcement learning, algorithm development, privacy-preserving algorithms, performance monitoring
Preferred skills
Publications in top-tier ML/IR/NLP/CV conferences, experience with emerging research technologies
Technologies
Deep learning frameworks, cloud computing platforms, distributed systems
Responsibilities
Building models and featurization pipelines; measuring and improving model performance with feedback loops and reinforcement learning; setting up, running, and analyzing experiments; prototyping new approaches and developing new algorithms; collaborating with product teams on AI-powered experience designs
Seniority
Senior, hands-on IC with mentorship responsibilities