Data Scientist（LLM）

Binance is hiring a Data Scientist（LLM） in Engineering — Taiwan, Taipei.

Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world's largest digital-asset exchange.

Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.

If you're looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.

Responsibilities

• Conduct research on cutting-edge LLM technologies, including but not limited to: large language models and fine-tuning techniques, retrieval-augmented generation (RAG), prompt engineering, and knowledge-grounded dialogue systems.
• Enhance overall performance for foundation models, encompassing data acquisition, model evaluation, SFT, reward modeling, and reinforcement learning.
• Explore new downstream products with AI and AI agent technologies at their core for Binance products.
• Stay up-to-date with the latest academic and industrial advancements in AI, LLMs, etc.

Qualifications

• Master's or PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• At least 3-5 years of relevant industry experience in developing Machine Learning models at scale from inception to business impact
• Research experience in LLMs, multi-modal understanding, vision and language, and other related topics.
• Highly competent in algorithms and programming; strong coding skills in Python, C/C++, etc.

Preferred Qualifications

• Experience in NLP and LLM technologies.
• Publications in top-tier venues, such as KDD, CVPR, NeurIPS, ICLR, ICML, EMNLP, ACL, ECCV, ICCV, etc.

Build a standout application

For the Data Scientist（LLM） at Binance, reviewers look for concise evidence over buzzwords. Mirror the language of the posting sparingly, quantify support or delivery outcomes, and show how you handled ambiguity, time-zone collaboration and user empathy. Keep your resume to impact, keep your cover note to one page, and link to artifacts — tickets resolved, docs shipped, dashboards owned — that prove you can operate in a fast-moving Web3 team. Prepare to discuss a time you turned a confusing user report into a clear fix and how you measure quality in support and operations.

Web3 hiring values reliability: on-time follow-through, clear writing, and a track record of improving runbooks and tooling. Treat the application as a work sample. For interviews, be ready to walk through how you prioritize across time zones, handle a difficult user, and decide when to escalate versus resolve directly. Show how you document decisions so the next teammate benefits.

In a distributed Web3 org, trust builds through written clarity. Use the cover note to demonstrate it. Add links to public work, keep formatting scannable, and close with a clear ask. Hiring managers skim — make impact obvious in the first half-page.

Career growth in Web3 rewards continuous learning. Follow protocol changelogs, practice with testnets, and contribute to open issues. Small, consistent contributions compound into credibility more than one-off credentials.

Build a standout application

For the Data Scientist（LLM） at Binance, reviewers look for concise evidence over buzzwords. Mirror the language of the posting sparingly, quantify support or delivery outcomes, and show how you handled ambiguity, time-zone collaboration and user empathy. Keep your resume to impact, keep your cover note to one page, and link to artifacts — tickets resolved, docs shipped, dashboards owned — that prove you can operate in a fast-moving Web3 team. Prepare to discuss a time you turned a confusing user report into a clear fix and how you measure quality in support and operations.

Web3 hiring values reliability: on-time follow-through, clear writing, and a track record of improving runbooks and tooling. Treat the application as a work sample. For interviews, be ready to walk through how you prioritize across time zones, handle a difficult user, and decide when to escalate versus resolve directly. Show how you document decisions so the next teammate benefits.

In a distributed Web3 org, trust builds through written clarity. Use the cover note to demonstrate it. Add links to public work, keep formatting scannable, and close with a clear ask. Hiring managers skim — make impact obvious in the first half-page.

Career growth in Web3 rewards continuous learning. Follow protocol changelogs, practice with testnets, and contribute to open issues. Small, consistent contributions compound into credibility more than one-off credentials.