Applied Scientist
Core
Solve large complex real-world problems at scale by inventing or adapting scientific approaches, models, and algorithms to empower undefined/untapped business use cases and create production-ready models.
Role type
Applied Scientist (ML/AI/GenAI)
Builds
Production-ready models, reusable science components, and services for Content Understanding, Recommendations, and GenAI-based product features.
Domain
Audio storytelling, Machine Learning, Artificial Intelligence, Generative AI, Natural Language Processing, Reinforcement Learning, Distributed Systems
Deliverable
production ML models
Required skills
Deep Learning, Natural Language Processing/Understanding, Generative AI, Reinforcement Learning, Large-scale distributed computation, Algorithms and data structures, Numerical optimization, Data mining, High-performance computing, LLMs/GenAI application
Preferred skills
Recommendation Systems, Machine Learning Pipeline orchestration, Unix/Linux, Professional software development
Technologies
Python, Java, C++, SQL, AWS (SageMaker, Batch, Lambda, Step Functions)
Responsibilities
Understand business use cases and design scalable, efficient, automated solutions; Collaborate with scientists and engineers to build and productionize models; Review peer models to manage risk and improve customer experience; Design, develop, and deploy modeling techniques for Content Understanding and GenAI; Contribute to initiatives employing recent ML/AI advances; Document work for reproducibility.
Seniority
Mid-Senior, hands-on IC
