Applied Scientist, C360
Core
Design and lead end-to-end systems for large-scale ML solutions delivering personalized recommendations and information retrieval for e-commerce customers.
Role type
Applied Scientist (LLM & Personalization)
Builds
Next-generation models for recommendations, information retrieval, and LLM fine-tuning
Domain
E-commerce, Large Language Models, Information Retrieval, NLP
Deliverable
production ML models
Required skills
LLM expertise, instruction tuning, reward modeling, reinforcement learning, multi-modal alignment, experimental design, model architecture design, statistical modeling
Preferred skills
Unix/Linux usage, professional software development
Technologies
Java, C++, Python, distributed computing frameworks
Responsibilities
Own the scientific roadmap for personalization initiatives; Design and lead end-to-end systems from problem framing to production A/B testing; Drive technical decisions on model architecture and training methodology; Mentor junior members and establish best practices; Influence cross-functional strategy with engineering and product teams; Publish research and contribute to the broader ML community
Seniority
Senior, hands-on IC with research leadership
