Senior Applied Scientist
Core
Solve large complex real-world problems at scale by inventing and extending scientific approaches, models, and algorithms for undefined business use cases in audio storytelling.
Role type
Senior Applied Scientist (ML/AI/GenAI)
Builds
Production-ready models and end-to-end solutions for Content Understanding, Recommendations, and GenAI-based product features.
Domain
Audio storytelling, Machine Learning, Natural Language Processing, Generative AI
Deliverable
production ML models
Required skills
Deep Learning, Natural Language Processing, Generative AI, Reinforcement Learning, Large-scale distributed computation, LLM development, Python, SQL
Preferred skills
Recommendation Systems, Large-scale content understanding, Online experimentation/A/B testing, ML Pipeline orchestration, Compiled languages (Java/C++/C#), Mentoring scientists
Technologies
AWS SageMaker, AWS Batch, AWS Lambda, AWS Step Functions, GPUs, Neuron, TPU
Responsibilities
Design, implementation, and delivery of scientifically complex, end-to-end solutions; Lead the team's scientific agenda and author peer-reviewed publications; Mentor and develop other scientists; Review peer models to manage risk; Collaborate with software engineers to productionize models.
Seniority
Senior, hands-on IC with mentorship responsibilities