The opportunity
You will be responsible for production-grade AI data processing and knowledge services for Binance’s equities business. You will transform financial information—announcements, news, earnings reports, earnings call transcripts and audio/video, research reports, and more—into…
What you'll do
Own production-grade AI data processing pipelines for financial content: (announcements, news, financial reports, earnings call materials, research reports, etc.), covering text, table, layout, and audio/video processing, as well as chunking, deduplication, clustering, standardization, versioning, and result validation.
Build layered financial knowledge bases that manage source documents,: structured facts, entities and events, full-text and vector indices, and relationship data; maintain metadata including source, time, security, market, language, version, and authorization.
Engineer and operate RAG services in production—building query processing,: permission and time filtering, multi-route retrieval, reranking integration, context assembly, evidence citation, and result return pipelines that ensure traceability to original sources.
Design extensible AI data processing, knowledge engineering, and indexing: frameworks with unified interfaces to adapt to new sources, formats, languages, models, rules, and algorithms; support incremental updates, index rebuilds, historical backfill, deletion, and authorization expiry.
Integrate LLMs, document understanding models, NLP models, rule systems, and: algorithm components into a unified pipeline with clear input/output contracts, task orchestration, version governance, and failure handling.
Own engineering capabilities for AI data processing and knowledge services:: APIs, async tasks, queues, caching, retry and graceful degradation, human review, canary releases, rollbacks, fault recovery, and capacity governance.
What they're looking for
- Establish a quality system for AI data processing, knowledge, and: RAG—measuring parsing accuracy, retrieval coverage, citation completeness, staleness, latency, stability, and cost, with tiered root-cause analysis.
- Collaborate with data, algorithm, product, and compliance teams to deploy AI: data processing and knowledge services reliably in user-facing equities products and Binance AI.
- Master’s degree or above in Computer Science, Software Engineering, AI, or a: related field; 5+ years of experience in backend, data platforms, ML engineering, or AI application engineering.
- Familiarity with equity markets and the investor research and decision-making: workflow; understanding of trading mechanics, market data, fundamentals, corporate actions, and major market events; ability to assess the entities, time sensitivity, sources, and usage boundaries of financial information.
