Position Summary... What you'll do... About Team We are building the next generation of AI-powered shopping experiences at […], centered around our Super-Agent Sparky—an intelligent orchestrator that connects interactions across a rich ecosystem of specialized application agents.
From intent-driven product discovery and context-aware recommendations to seamless checkout, smart substitutions, and end-to-end order tracking, Sparky transforms the entire shopping journey into a fluid, conversational experience. For data scientists and ML engineers, this is a large-scale, real-world AI problem: designing multimodal systems that combine text, voice, and visual understanding; building retrieval and ranking systems over vast and dynamic catalogs; and developing real-time personalization under tight latency and reliability constraints. The work spans applied machine learning, experimentation, and optimization—powering intelligent systems that continuously improve how millions of customers discover and shop.
We are looking for a Staff data scientist to lead the next evolution of the AI assistant platform by defining and building highly scalable Generative AI systems and infrastructure. This will be a hands-on technical leadership role which requires expertise at the intersection of machine learning, LLMs, ASR, large-scale distributed systems, and more. Our AI assistants are rapidly incorporating LLMs, agent-based architecture with custom fine-tuned models, and multiple data modalit