币安加速器计划 - 研究数据科学家
Binance Accelerator Program - Research Data Scientist
Binance 是全球领先的区块链生态系统,是交易量和注册用户数最多的加密货币交易所。Binance 在 100 多个国家受到超过 3.2 亿人的信任,因其行业领先的安保、透明度、交易引擎速度、对投资者的保护以及从交易和金融到教育、研究、社会公益、支付、机构服务和 Web3 功能的无与伦比的数字资产产品组合而备受信赖。Binance 致力于构建一个包容性的加密生态系统,以加密货币作为基本手段,为全球人们增加货币自由和金融准入。
关于 Binance 加速器计划
Binance 加速器计划(BAP)是一个为期 3-6 个月的实习项目,专为早期职业人才设计,让他们在快速扩展的数字资产领域获得第一手经验。你将有机会在 Binance 发展技能,并了解在世界领先的区块链生态系统工作的感觉。作为 BAP 实习的一部分,还将有社交和发展的机会,这将拓展你的专业网络并建立可转移的技能,推动你的职业生涯向前发展。了解 BAP 计划 HERE。
申请对象
目前的大学生和应届毕业生。
*雇佣/参与条款应以合同和当地适用法律为准
职位简介
你将与高级研究科学家一起,在大语言模型推理、训练后方法和代理 AI 的前沿问题上工作——这是少数几个你的模型可以大规模与实时全球市场互动的环境之一。
这不是一个支持或文献综述的角色。你将运行实验,形成独立假设,实现来自最新论文的想法,并与工程团队紧密合作,了解研究在真实生产约束下的表现——全天候、零停机、数亿用户。
申请对象
目前的大学学生(AI 路线的硕士、博士)或不介意从实习生开始的应届毕业生。
职责
- 在推理模型训练、训练后对齐、测试时计算扩展和系统模型评估方面设计和运行实验——基于金融和原生加密问题场景
- 在 PyTorch 和 Hugging Face 生态系统中实现模型变体、训练流程(包括 RLVR 基础方法)和评估框架
- 综合近期研究成果
查看英文原文
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.
About Binance Accelerator Program
Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.
Who may apply
Current university students and recent graduates.
*Terms of employment / engagement shall be subject to contract and local applicable laws
About the Role
You'll work alongside senior research scientists on problems at the frontier of LLM reasoning, post-training methodology, and agentic AI — in one of the few environments where your models interact with live global markets at scale.
This isn't a support or literature-review role. You'll run experiments, form independent hypotheses, implement ideas from recent papers, and work closely with engineering teams to understand how research behaves under real production constraints — 24/7, zero-downtime, hundreds of millions of users.
Who may apply
Current university students (Masters, PHD in AI track) or recent graduates who don't mind starting as intern.
Responsibilities
- Design and run experiments in reasoning model training, post-training alignment, test-time compute scaling, and systematic model evaluation — grounded in financial and crypto-native problem settings
- Implement model variants, training pipelines (including RLVR-based approaches), and evaluation frameworks in PyTorch and the Hugging Face ecosystem
- Synthesize recent work from NeurIPS, ICML, ICLR, and ACL to sharpen active research directions — not just track the field, but translate it into testable ideas
- Apply LLM reasoning to crypto-native data: on-chain signals, market microstructure, and multi-modal market intelligence — research opportunities that don't exist anywhere else
- Maintain rigorous experiment tracking and reproducibility standards (W&B or equivalent)
- Partner with applied engineering to understand how research translates into production systems — and what constraints actually matter
Requirements
- Currently pursuing a Master's or PhD in Machine Learning, Computer Science, Mathematics, or a related field (preferably graduating between 2026 to 2028)
- Strong Python and PyTorch fundamentals; C++ or Rust exposure is a bonus
- Comfortable using AI-assisted development tools as a natural part of your research workflow — not as a crutch, but as leverage
- Solid grounding in transformer architectures, LLM pretraining, and the shift toward reasoning-capable models
- You form opinions about research, not just summaries of it
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
Originally posted on Himalayas