Team Introduction
We’re the core team building LLM-powered agentic systems that drive and accelerate seller growth across global markets.
We bring cutting-edge AI into production at scale — from applied LLMs and multi-agent systems to real-world business impact in one of the fastest-growing e-commerce ecosystems in the world.
We’re looking for brilliant and motivated ML engineers eager to apply their knowledge in machine learning (ML), operations research (OR), data mining, and large-scale intelligent systems to real-world challenges.
If you love building, experimenting, and shaping how AI transforms commerce, we want to talk to you.
Applications are reviewed on a rolling basis — we encourage you to apply early. Responsibilities
1. Develop and deploy deep learning and LLM-powered systems for merchant operational tools and global e-commerce growth scenarios.
2. Leverage large-scale e-commerce data to power agentic systems that generate actionable insights — from CRM content generation and store decoration to automated email reply and outreach optimization.
3. Use ML models to predict seller performance, identify growth gaps, and provide agent-based recommendations (e.g., campaign design, pricing, and promotions).
4. Collaborate with cross-functional partners (product, data science, operations) to design and deliver 0-to-1 projects that fundamentally reshape how merchants grow, impacting millions of daily sales across key categories (beauty, fashion, health, etc.).
5. Build lead-scoring models, merchant tiering algorithms, outreach optimization systems, and knowledge graphs to enhance onboarding and retention efficiency.
6. Apply data mining and predictive modeling to optimize product pricing, promotion, and traffic allocation strategies.
7. Communicate technical insights effectively to both technical and non-technical stakeholders, fostering a collaborative, data-driven culture.