Senior Applied ML/AI Scientist - Search
Core
Design and productionize next-generation search ranking algorithms and natural-language discovery systems using deep learning, LLMs, and graph neural networks to personalize product discovery for independent retailers.
Role type
Senior Applied ML/AI Scientist (Search & Recommendation)
Builds
Real-time search ranking models, multimodal user profiling systems, and intelligent search agents for an e-commerce wholesale platform.
Domain
E-commerce / Search & Recommendation / Deep Learning
Deliverable
production ML models
Required skills
Deep learning, Transformer-based sequential modeling, Graph neural networks, LLM application development, User modeling, Reinforcement learning, A/B testing, Feature engineering, MLOps, Python, PyTorch, Spark
Preferred skills
Open-source ML contributions, Peer-reviewed publications, E-commerce marketplace search experience, AI coding tools proficiency, Kotlin
Technologies
PyTorch, Spark, LLMs, Graph Neural Networks
Responsibilities
Build next-generation search ranking algorithms integrating deep learning advances; Leverage LLMs to extract multimodal signals for user profiling; Partner with teams to experiment and improve ML models; Design and productionize natural-language search and discovery systems; Share best practices in deep learning and MLOps through code reviews and guidance.
Seniority
Senior, hands-on IC
