Work closely with CS leaders, ML engineers, product managers, and other stakeholders to translate reviewer feedback into prioritized experiments and system improvements.
- Local Services Search Team: Optimizes Local Service search experience, helping users discover catering, hotel, leisure and other life services. We apply LLM for query understanding, CTR/CVR prediction, local-service ai search card and agentic local service search framework.
Experience with quality assurance or testing processes, such as designing test cases, validating outputs against requirements, and tracking issues through resolution.
Connect business and technology. Partner with technical trainers on experiment design and failure diagnosis. In the technology variant, additionally build Python evaluation scripts, manage dataset versions and support approved fine-tuning experiments where justified.
Build scalable and reliable Extract, Transform and Load (ETL) processes for the ingestion and integration of large, structured and unstructured data from a variety of data sources, including systems that are on-premise and on cloud platforms.
OCR & Document Processing Pipelines: Implement, benchmark, and optimize advanced Optical Character Recognition (OCR) tools and document-parsing algorithms to process complex unstructured payloads entirely on-premise.
Work within established AI-native engineering workflows, collaborating with AI agents across implementation, testing, debugging, and documentation while validating every output.