Senior Evaluation Algorithm Engineer

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About the Role

In the AI era, large language models are reshaping core business scenarios such as dialogue and trading. Model capability iteration relies on a scientific and trustworthy evaluation system — the "ruler" that measures model quality and guides R&D direction. We are seeking an evaluation expert with an algorithmic background to build LLM evaluation capabilities covering dialogue, financial trading, and other scenarios, using professional evaluation methods to quantify model performance, pinpoint issues, and drive continuous model improvement.

Responsibilities

• Design end-to-end LLM evaluation plans for business scenarios such as dialogue and financial trading. Build evaluation metric systems and rubrics, transforming subjective model performance judgments into quantifiable, reproducible, and explainable evaluation conclusions.

• Lead the design and construction of evaluation datasets. Define evaluation dimensions and scenario coverage, establish high-quality data annotation guidelines and quality control processes, and build benchmarks that authentically reflect business needs and have discriminative power.

• Analyze model capability boundaries and failure modes based on evaluation results. Produce actionable improvement recommendations and collaborate with algorithm and product teams to drive model iteration, making evaluation a critical component of the R&D loop.