[Graduate Program 26] Algorithm Engineer算法工程师

About us

Bitget is one of the world's leading digital assets ecosystems. With over 120 million registered users, Bitget has one of the most comprehensive suites of blockchain products and services available via bitget.com.

Our mission is to support the growth of the digital assets industry and we believe it represents the future of finance. What we do empowers the future of finance by ensuring secure, efficient and smart digital transactions.

We are one of the fastest growing companies in the digital asset sector. If you are looking for cutting-edge work, where you will have opportunities to develop your career among peers who are experts in their field, and you believe in the future of digital currency, then look no further than Bitget!

What you'll do

• Business Insight & Solution Implementation: Co-create AI application scenarios with business teams (e.g., AIAgent, Risk Control, Compliance, Customer Service, Operations, Marketing, Translation, etc.), define clear objectives and metrics (e.g., conversion rate, retention, response latency, interception rate, automation rate); perform feasibility analysis and MVP design; drive end-to-end deployment from PoC to productization and scaling.
• Model & System Development: Develop task-oriented / knowledge-based agents based on LLMs, Retrieval-Augmented Generation (RAG), multi-agent systems, tool/function calling, and workflow orchestration; apply fine-tuning, instruction alignment, evaluation, and continual learning tailored to exchange scenarios; explore strategy models (prompt engineering, LoRA, DPO/ORPO, synthetic data augmentation); build multi-modal applications (text/audio/charts/market data) to enhance user experience and efficiency.
• Data & Evaluation: Build data pipelines including data collection, annotation, cleaning, quality evaluation, and feature engineering; create offline benchmarks and online A/Bmeasure effectiveness and cost, driving continuous iteration.
• Engineering & Production Operations: Turn prototypes into production-grade services with APIs/microservices, containerization, CI/CD, monitoring and alerting, canary release, auto-scaling; ensure performance in latency, throughput, stability, and cost, while ensuring compliance and privacy security.
• Compliance & Security: Adhere to crypto industry compliance requirements; help build AI capabilities in KYC/KYB, anti-money laundering (AML), anti-fraud, and content compliance.

What you'll need

Educational Background:

• Master’s degree or above in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or related fields (fresh graduates welcome).

Skills/Experience:

• Proficient programming skills: strong in Python; familiarity with at least one backend language (Go, Java, Node.js, etc.) is a plus.
• Familiar with LLM ecosystems and common frameworks: AutoGen, LangChain, LlamaIndex, Transformers, DeepSpeed, Ray, Flow-based frameworks (e.g., Haystack, DSPy, etc. are a plus).
• Understanding of RAG, vector databases (Milvus, FAISS, pgvector, Weaviate), embeddings, and prompt engineering.
• Basic experience in model fine-tuning (LoRA/QLoRA, PEFT), and knowledge of model evaluation and synthetic data generation.
• Web/API development and engineering skills: REST/gRPC, Docker/Kubernetes, and logging/monitoring tools (e.g., Prometheus, Grafana, ELK).
• Familiar with machine learning/deep learning techniques; practical experience in offline evaluation and online experiments (e.g., A/B testing); experience in one or more areas such as recommendation, search, risk control, customer support automation, or knowledge management is a plus.

Soft Skills:

• Interest or background in Web3, on-chain data, order matching, quantitative trading strategies, risk control, or compliance.
• Understanding of exchange business data flow and user journey; strong business sense and ROI-driven mindset.
• Strong problem decomposition and structured thinking; good cross-team communication and product awareness.
• Self-driven and curious, able to rapidly drive MVP development and iteration in uncertain environments.

Language Requirement:

• Good English reading skills, able to follow cutting-edge research and open-source community updates.

Bonus Points (any of the following)：

• Publication experience in top-tier AI conferences.
• Experience in AI coding tools (e.g., Vibe Coding).
• Hands-on AI application projects, such as RAG Q&A, intelligent customer service, agent-based automation, model evaluation platforms, etc.
• Contributions to open-source projects, technical blogs/papers, or awards in competitions (Kaggle, Tianchi, National contests, etc.).
• Experience in AI safety and compliance: data redaction, jailbreak prevention, content moderation, red-teaming.
• Data engineering experience with tools like Airflow/Dagster, Spark/Flink, and data quality governance.

岗位职责：

• 业务问题洞察与方案落地：与业务团队（AIAgent、风控、合规、客服、运营、市场、翻译等）共创AI应用场景，明确目标指标（如转化率、留存、响应时延、拦截率、人工替代率等）; 进行可行性分析与MVP设计，推动从PoC到产品化、规模化的端到端闭环
• 模型与系统研发：基于大语言模型、检索增强（RAG）、多智能体、工具调用、函数调用、工作流编排等技术，开发任务型/知识型智能体; 针对交易所场景进行微调/指令对齐、评测与持续学习; 探索策略模型（如提示工程、LoRA、DPO/ORPO、合成数据增强）; 构建多模态应用（文本/语音/图表/行情数据），提升交互体验与效率
• 数据与评测：建设数据闭环包括数据采集、标注、清洗、质量评估与特征工程; 建立线下评测集与线上A/B测试，度量效果与成本，持续迭代
• 工程与上线运维：将原型转化为生产级服务：API/微服务化、容器化与CI/CD、监控告警、灰度发布、弹性扩缩; 关注延迟、吞吐、稳定性与成本优化，确保合规与隐私安全
• 合规与安全：遵循加密资产行业合规要求，参与构建KYC/KYB、反洗钱（AML）、反欺诈、内容合规等AI能力

任职要求：

学历背景

• 计算机/人工智能/软件工程/数据科学等相关专业应届硕士及以上

技能/经验

• 扎实的编程能力：熟练掌握Python，熟悉一种后端语言（Go/Java/Node.js 等）更佳
• 熟悉LLM生态与常见框架：AutoGen/LangChain/LlamaIndex/Transformers/DeepSpeed/Ray/Flow框架（如Haystack、DSPy等有加分）
• 了解RAG、向量数据库（Milvus/FAISS/pgvector/Weaviate）、Embeddings、Prompt工程
• 具备基础的模型微调经验（LoRA/QLoRA、PEFT），了解模型评测与数据合成方法
• 具备Web/API开发与工程化能力：REST/gRPC、Docker/K8s、日志监控（Prometheus/Grafana/ELK）
• 熟悉常用机器学习/深度学习方法，具备构建离线评测与在线实验（A/B测试）的实践; 了解推荐/搜索/风控/客服自动化/知识管理中的一个或多个方向更佳

软性特质：

• 对web3、链上数据、交易撮合、量化策略、风控与合规有兴趣或了解;
• 了解交易所业务数据流与用户旅程，具备业务sense与ROI导向
• 强问题分解与结构化能力，良好的跨团队沟通与产品意识
• 自驱、好奇，能在不确定性中快速推进MVP与迭代

语言要求

• 英文阅读能力良好，能跟进前沿论文与开源社区

加分项（任一）：

• 有AI相关领域的国际顶级会议发表论文经验
• 有AI Coding（Vibe Coding）的相关经验;
• 有落地的AI应用项目：RAG问答、智能客服、Agent自动化运营、模型评测平台等
• 开源项目贡献或技术博客/论文; 在大赛中获奖（Kaggle/天池/国赛等）
• 对安全与合规方向有实践：敏感信息脱敏、模型越狱防护、内容审核、红队评测
• 有数据工程经验：Airflow/Dagster、Spark/Flink、数据质量治理

Why Bitget?

• Bitget is the world's leading web 3 platform for copy trading and one of the world's largest and most respected exchanges
• We are a global company with staff members from over 50 different countries and regions
• We are growing and looking for world-class ambitious talents to help us continue this journey
• We have a streamlined structure that empowers employees to work efficiently, delivering the best results in a short timeframe
• We offer competitive salaries and benefits
• Blockchain technology and digital assets have the potential to change finance in a way no other technology can - be part of it!

If you are ambitious and believe that digital assets could be the next financial and technological revolution, please apply!

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