Job Description

About Our Team
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:
- Develop and deploy deep learning and LLM-powered systems for merchant operational tools and global e-commerce growth scenarios.
- 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.
- Use ML models to predict seller performance, identify growth gaps, and provide agent-based recommendations (e.g., campaign design, pricing, and promotions).
- 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.).
- Build lead-scoring models, merchant tiering algorithms, outreach optimization systems, and knowledge graphs to enhance onboarding and retention efficiency.
- Apply data mining and predictive modeling to optimize product pricing, promotion, and traffic allocation strategies.
- Communicate technical insights effectively to both technical and non-technical stakeholders, fostering a collaborative, data-driven culture.