Applied Scientist III - Recommendations
Core
Design, build, and deploy large-scale recommendation systems and agentic AI workflows to power personalized lock screen and live entertainment experiences on Glance.
Role type
Senior Applied Scientist (Recommendation Systems & Agentic AI)
Builds
Personalized consumer experiences (lock screen, live entertainment) for Glance mobile and TV
Domain
Mobile commerce, agentic AI, large-scale recommendation systems
Deliverable
production ML models
Required skills
Large-scale recommendation systems, classical ML, deep learning, NLP, reinforcement learning, time series, LLMs, generative models, agentic AI workflows, Python, Spark, distributed data systems, cloud platforms (Azure, AWS, GCP)
Preferred skills
PhD, experience with privacy-preserving ML, identity-less ecosystems
Technologies
PyTorch, TensorFlow, Spark, Hadoop, Azure, AWS, GCP, Vertex AI
Responsibilities
Design and develop large-scale recommendation systems using advanced ML and ranking algorithms; Build and operate machine learning models on diverse, high-volume data sources; Develop rapid experimentation workflows; Own data preparation, model training, evaluation, and deployment pipelines; Monitor ML model performance and identify drifts; Collaborate with cross-functional teams to integrate ML and GenAI-driven features.
Seniority
Senior, hands-on IC
