Binance

<div><span>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.</span></div><div><br /></div><div>
<p>Binance is looking for a research-minded engineer to join the AI Infra team — sitting at the intersection of frontier model capabilities and real-world agent deployment. You'll work directly with researchers and engineers to push the boundaries of what AI agents can do: from Agentic RAG and context management to task execution, self-evolving agents, and multi-agent coordination.</p>
<p>This is not a pure engineering role and not a pure research role. It's both. You'll be expected to generate original ideas, run experiments, ship prototypes, and iterate fast based on real user feedback. The best candidate is someone who has already internalized agent tools into their daily workflow and has strong opinions about model behavior.</p>
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<h2>Responsibilities</h2><div>

<li>
<p><strong>Agentic RAG &amp; </strong><strong>E</strong><strong>ngineering</strong>: Design and operate next-generation retrieval pipelines — moving beyond static retrieve-once patterns to adaptive, self-correcting, and multi-hop retrieval workflows; architect Agentic RAG systems with dynamic retrieval control, query decomposition, iterative retrieve-reflect-refine loops, and multi-agent retrieval collaboration</p>
</li>
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<p><strong>Frontier Harness</strong>: Collaborate deeply with researchers and engineers to define and implement model-capability-driven innovations — including context management, long-term memory, subagent and multi-agent architectures, self-evolving agents, and real-word task execution</p>
</li>
<li>
<p><strong>Benchmarking &amp; Evaluation</strong>: Propose harness-domain and RAG-domain benchmarks and evaluation methodologies; construct benchmark datasets, define annotation strategies, and systematically measure and improve agent intelligence across domains — including retrieval efficiency, latency, groundedness, and task success rate</p>
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<p><strong>Real-world Feedback Loops</strong>: Leverage multi-channel user feedback and real-world task data as primary research signals; design experiments and datasets to continuously improve agent and retrieval performance in production scenarios</p>
</li>

</div>
<h2>Requirements</h2><div>

<li>
<p><strong>1+ Year</strong> hands-on experience with LLM, RAG and AI agent systems in production</p>
</li>
<li>
<p><strong>RAG &amp; Agentic RAG Engineering</strong>: Hands-on experience building production retrieval pipelines end-to-end — embedding models (BGE, OpenAI, etc.), vector stores (Qdrant, Milvus, Pinecone, Weaviate), hybrid search (keyword + vector), reranking models; deep understanding of chunking strategy, text cleaning, and multimodal data parsing; experience implementing Agentic RAG patterns — Self-RAG, Corrective RAG, adaptive retrieval, multi-hop decomposition, retrieve-reflect-refine loops</p>
</li>
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<p><strong>Agent Harness Engineering</strong> — hands-on experience with Agent Harness runtimes (Pi Agent, AgentScope 2.0 or equivalent orchestration frameworks): session recovery, sandbox isolation, middleware/hook systems, multi-tenant runtime, plan/execute loops, and retrieval-grounded tool calling</p>
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<p><strong>LLM &amp; Agent Fundamentals</strong>: Deep familiarity with LLM and agent mechanisms — LLM APIs, KV Cache, Agent Loop, Tool Use, Reasoning, Planning, Skills, MCP, Memory, Subagent, Multi-Agent; strong grasp of Prompt Engineering, Context Engineering</p>
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<p><strong>Independent Research Capability</strong>: Can analyze ambiguous problems from first principles, generate original ideas, and drive research from 0 to 1; able to rapidly translate ideas into runnable prototypes with tight experiment iteration loops</p>
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<p><strong>Heavy Agent User</strong>: Power user of agent products (coding agents, general-purpose agents); agent tools are already integrated into your daily work and life; you have taste and judgment about model behavior</p>
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<p><strong>AI-native Engineering</strong>: Proficient in vibe coding — ships fast using AI-assisted workflows across unfamiliar languages, frameworks, and domains; strong learning velocity in software development</p>
</li>

<h3><strong>Nice to Have</strong></h3>

<li>
<p>Deep hands-on experience with agent products such as <strong>Claude Code, </strong><strong>OpenClaw</strong><strong>, Cowork, Manus</strong>, or equivalent — already integrated into your workflow or daily life</p>
</li>
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<p><strong>RAG evaluation</strong>: Experience with RAGAS, TruLens, or custom benchmarking pipelines for retrieval quality, groundedness, and latency profiling</p>
</li>
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<p><strong>GraphRAG / knowledge graph-augmented retrieval</strong> experience</p>
</li>
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<p>Experience with <strong>Pi Agent</strong>, <strong>AgentScope 2.0</strong> or <strong>other Agent Harness</strong>: middleware composition, multi-tenant session management, plugin architecture, sandbox backends</p>
</li>
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<p>Background in model training, RLHF, or model–system co-design</p>
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<p>LiteLLM / multi-provider proxy experience</p>
</li>
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<p>Kubernetes/EKS: pod isolation, resource management, secrets handling</p>
</li>
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<p>Security engineering: prompt injection defense, sandbox hardening, guardrail design</p>
</li>

</div>
<h2>Nice to have</h2><div>

<li>
<p>Deep hands-on experience with agent products such as <strong>Claude Code, </strong><strong>OpenClaw</strong><strong>, Cowork, Manus</strong>, or equivalent — already integrated into your workflow or daily life</p>
</li>
<li>
<p><strong>RAG evaluation</strong>: Experience with RAGAS, TruLens, or custom benchmarking pipelines for retrieval quality, groundedness, and latency profiling</p>
</li>
<li>
<p><strong>GraphRAG / knowledge graph-augmented retrieval</strong> experience</p>
</li>
<li>
<p>Experience with <strong>Pi Agent</strong>, <strong>AgentScope 2.0</strong> or <strong>other Agent Harness</strong>: middleware composition, multi-tenant session management, plugin architecture, sandbox backends</p>
</li>
<li>
<p>Background in model training, RLHF, or model–system co-design</p>
</li>
<li>
<p>LiteLLM / multi-provider proxy experience</p>
</li>
<li>
<p>Kubernetes/EKS: pod isolation, resource management, secrets handling</p>
</li>
<li>
<p>Security engineering: prompt injection defense, sandbox hardening, guardrail design</p>
</li>

</div>

AI Agent Engineer

<div><span>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.</span></div><div><br /></div><div>We're looking for a Data Analyst Intern to join the Risk/Data team. The intern will support data pipeline development, SQL-based analytics, and data standardization initiatives under the guidance of senior team members. This is a great opportunity to gain hands-on experience with large-scale data processing in a real business environment.</div>
<h2>Responsibilities:</h2><ul><li>Assist in developing and maintaining SQL-based data pipelines and analytics workflows</li>
<li>Support data standardization and normalization projects (e.g., address parsing, entity resolution)</li>
<li>Help build and optimize data models, dashboards, and reports</li>
<li>Conduct ad-hoc data analysis under mentorship and present findings to the team</li>
<li>Assist in monitoring data quality and implementing validation logic</li>
<li>Collaborate with team members on cross-functional data projects</li></ul>
<h2>Requirements:</h2><ul><li>Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field</li>
<li>Solid SQL skills, familiarity with Hive/Spark SQL is a plus</li>
<li>Basic proficiency in at least one scripting language (Python preferred)</li>
<li>Strong interest in data analytics, risk control, or fraud detection</li>
<li>Good communication skills, eagerness to learn and take initiative</li>
<li>Available for at least 3 days per week, minimum 3-month internship duration</li></ul>

BAP - Data Analyst

<div>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.</div>
<div> </div>
<div><strong>About Binance Accelerator Program</strong></div>
<div>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 <a href="https://www.binance.com/en/blog/all/early-career-program-how-binance-gears-up-early-career-talent-6771140985933048651" rel="noopener noreferrer ugc" target="_blank">HERE</a>.</div>
<div><strong> </strong></div>
<div><strong>Who may apply</strong></div>
<div>Current university students and recent graduates.</div>
<div><em>*Terms of employment / engagement shall be subject to contract and local applicable laws</em></div>
<div> </div><div><br /></div><div>We are looking for a motivated Product Data Analyst Intern to join our Product DA team. You will work alongside senior analysts on real product analytics projects — including conversion funnel analysis, A/B experiment evaluation, and dashboard building. This is a hands-on role where you'll gain exposure to product strategy, experiment-driven decision making, and large-scale data infrastructure.</div>
<h2>Responsibilities:</h2><ul><li>Assist in building and analyzing user conversion funnels, identifying drop-off points and improvement opportunities</li>
<li>Support A/B experiment evaluation: pull experiment data, validate cohort allocation (sanity checks), calculate uplift metrics, and summarize results</li>
<li>Build and maintain dashboards for key product metrics (CTR, conversion rate, UV/PV)</li>
<li>Respond to product team ad-hoc data requests — user segmentation, feature adoption tracking, campaign performance analysis</li>
<li>Write and maintain SQL queries for scheduled data pipelines; assist in data quality monitoring</li>
<li>Translate data findings into clear summaries and visualizations for product teams</li></ul>
<h2>Requirements:</h2><div> </div>

<li>Currently pursuing or recently completed a Bachelor's/Master's degree in a quantitative discipline (Statistics, Computer Science, Economics, Data Science, or related field)</li>
<li>Internship experience in product analytics or related data analysis roles preferred</li>
<li>A natural curiosity to identify, investigate and explain trends and patterns in data</li>
<li>Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.</li>
<li>Understanding of A/B testing fundamentals (hypothesis testing, p-value, confidence intervals)</li>
<li>Strong logical thinking, attention to detail, and ability to work independently</li>
<li>Fast learner with curiosity about product strategy and user behavior</li>
<li>Competency in one or more of the following:

</li><li>SQL (able to write complex queries with CTEs, window functions, subqueries)</li>
<li>Programming (Python/R for data manipulation)</li>
<li>A data visualization tool (e.g. DataWind, Tableau, PowerBI)</li>
<h2>Nice to Have</h2><div>

<li>Experience with event tracking / behavioral analytics (Sensors, Mixpanel, GA)</li>
<li>Familiarity with Airflow or data scheduling tools</li>
<li>Interest in crypto/fintech industry</li>
<li>Prior experience with large-scale data (Hive/Spark environment)</li>

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Binance Acceleration Program - Product Data Analyst

<div><span>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.</span></div><div><br /></div><div>We are looking for a Senior Product Data Analyst to join the Product DA team, partnering closely with Product Managers, Engineers, and Business stakeholders to drive data-informed product decisions. You will own end-to-end analytics for product strategy — from defining metrics and designing experiments to delivering actionable insights that directly impact user conversion, engagement, and business growth.</div>
<h2>Responsibilities:</h2><ul><li>Work across all aspects of product data — from data engineering to building sophisticated dashboards, experiment frameworks and predictive models — in support of user growth and product strategy</li>
<li>Analyze and interpret large (PB-scale) volumes of user behavioral, transactional, and operational data using proprietary and open source data tools, platforms and analytical toolkits</li>
<li>Design and evaluate A/B experiments end-to-end: hypothesis formulation, experiment design, statistical analysis (significance testing, uplift calculation), and actionable recommendations</li>
<li>Define and maintain core product metrics hierarchy (CTR, conversion rate, retention, etc.), set OKR targets, and continuously evaluate performance</li>
<li>Translate complex findings into simple visualizations and recommendations for execution by product, operational teams and executives</li>
<li>Be part of a fast-paced industry and organization where time to market is critical</li></ul>
<h2>Requirements:</h2><ul><li>Degree in a quantitative discipline, such as Mathematics/Statistics, Computer Science, Engineering, Economics, or Data Science</li>
<li>At least 3 years of full-time work experience in a Product Analytics or Data Science role</li>
<li>Rich product strategy analysis experience, especially in user growth, conversion optimization, or recommendation systems Hard Requirement</li>
<li>A natural curiosity to identify, investigate and explain trends and patterns in data, and an ability to break down complex concepts and technical findings into clear, simple language</li>
<li>Prior experience with A/B testing platforms and statistical experiment design preferred</li>
<li>A passion for Emerging Technologies related to Blockchain, Machine Learning and AI</li>
<li>Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.</li>
<li>Competency in two or more of the following:
<ul>
<li>SQL (Hive/SparkSQL) with large-scale data warehouse experience</li>
<li>A data visualization tool (e.g. DataWind, Tableau, PowerBI)</li>
<li>Programming for data analysis and automation (e.g. Python, R)</li>
<li>Workflow orchestration tools (e.g. Airflow)</li>


</ul></li></ul>
<h2>Nice to Have:</h2><div>

<li>Experience in crypto/fintech or high-growth consumer products</li>
<li>Experience with personalization/recommendation systems analytics</li>
<li>Familiarity with event tracking systems (e.g. Sensors, Mixpanel)</li>
<li>Experience building metrics dictionaries or data governance frameworks</li>
<li>Experience mentoring junior analysts</li>

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Senior Product Data Analyst

<h2>Responsibilities</h2><ul><li>Prepare, review, and update CS-related SOPs, Macros, Announcements, and FAQs to ensure clarity and consistency in service delivery</li>
<li>Manage CS enquiries and tickets, ensuring timely resolution while identifying opportunities for process enhancements and proposing relevant improvements</li>
<li>Monitor BU chat/helpdesk daily performance; identify gaps and propose actionable, data-backed solutions</li>
<li>Conduct data and case analysis to support decision-making, continuous improvement, and overall customer satisfaction</li>
<li>Collaborate with cross-functional teams (e.g., Product) to design and execute CS-related process improvement initiatives</li>
<li>Be responsible for promptly attending to and managing any ad-hoc tasks or issues that may arise from time to time</li>
<li>Evaluate and track the impact of implemented changes to ensure alignment with CS goals and KPIs</li>
<li>Provide training materials, such as CS quizzes, and support knowledge transfer on updated processes and best practices</li>
<li>Assist in organizing and preparing for regular BU and internal meetings</li>
<li>Stay updated on industry trends and customer support innovations to keep CS operations future-ready</li></ul>
<h2>Requirements</h2><ul><li>Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders</li>
<li>Proficient in office tools, incl. word and spreadsheets (Boffice/Gsuite)</li>
<li>Experience in CS operations and SOP management</li>
<li>Familiarity with Haodesk systems and internal communication workflows</li>
<li>Strong communication, data analysis, problem-solving, and collaboration skills</li>
<li>Open to flexible working hours and eagerness to take on new challenges and adapt to change</li></ul>

Binance

Open jobs at Binance

AI Agent Engineer

BAP - Data Analyst

Binance Acceleration Program - Product Data Analyst

Senior Product Data Analyst

Customer Service Business Process Specialist (Mandarin Speaker)

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