We're looking top tier software engineers as part of a high-leverage team that ships across the entire search and retrieval stack: crawling, parsing, ML systems performance, retrieval algorithms, and new product surfaces. Past output from this team includes shipping entirely new product lines from scratch, cutting ML inference latency multiple times over, and making core infrastructure several times faster. You'll move between problem areas as the business needs it, with real end-to-end ownership from day one.
Next-Gen Marketing Tech: Go beyond traditional discriminative uplift prediction. Research and productionize cutting-edge causal inference and AI technologies — including Uplift Modeling, E2E Modeling, RL, LLMs, and AI Agents — to directly address user conversion and repeat purchase behavior.
We're looking top tier software engineers as part of a high-leverage team that ships across the entire search and retrieval stack: crawling, parsing, ML systems performance, retrieval algorithms, and new product surfaces. Past output from this team includes shipping entirely new product lines from scratch, cutting ML inference latency multiple times over, and making core infrastructure several times faster. You'll move between problem areas as the business needs it, with real end-to-end ownership from day one.
Next-Gen Marketing Tech: Go beyond traditional discriminative uplift prediction. Research and productionize cutting-edge causal inference and AI technologies — including Uplift Modeling, E2E Modeling, RL, LLMs, and AI Agents — to directly address user conversion and repeat purchase behavior.
Construct multimodal semantic links across video-product, product-product, and video-video relationships to support trend understanding, product mining, AIGC generation, and content-commerce supply optimization.
Construct multimodal semantic links across video-product, product-product, and video-video relationships to support trend understanding, product mining, AIGC generation, and content-commerce supply optimization.
Facial Liveness & Match: Test and improve facial liveness detection and face matching across different devices, lighting conditions and skin tones. Analyse performance and report accuracy and error rates using MediaPipe and face recognition evaluation techniques.