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We are looking for a Senior Frontend Engineer to design and build Cloud Exchange and other products in our ecosystem.
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Lead marketing spend, planning and evaluation across marketing areas (eg performance marketing, PR & Branding, user campaigns, affiliates & KOLs, events & sponsorships).
Analyze the effectiveness of marketing investments, derive insights on ROI, and develop high-impact recommendations for executive business leaders.
Partner with Accounting to ensure accurate monthly financial reporting of marketing activities.
Provide key data insights to help marketers shape new or existing campaigns, continuing to identify growth opportunities, and data-driven recommendations (including guidance on spend) to improve ROI and user growth.
Work with complex datasets, ensuring that our marketing activities are being tracked and measured appropriately by working with cross-functional stakeholders.
Build relationships and collaborate with leaders across Marketing, Data, Regions and Finance team to find solutions to challenges
Drive continuous process improvement, standardization, simplification and reporting enhancements
Requirements
8+ years of experience in an FP&A or strategic finance role supporting Marketing function or in a Marketing role supporting analytics & strategy with Finance background at a large internet company (B2C) Analytical problem solver with extensive experience building complex financial and/or operating models
Ability to craft executive-level presentations and develop succinct narratives outlining the key points of a deliverable and next step action items
Demonstrated abilities to ask the right questions and to use sound business judgment when collaborating with a wide-range of stakeholders
Proficiency in using AI / experience in automation is an added advantage.
Proven proclivity for quickly identifying and methodically resolving potential road-blocks
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Junior Quantitative Researcher (Fresh STEM PhD graduates are welcome)
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We are building out a new research function at the intersection of artificial intelligence and quantitative trading to improve the efficiency of execution algo models and more, and we are looking for a Junior Quantitative Researcher to be a founding member of this effort. You will work alongside senior quants, engineers, and traders to design AI-driven workflows that generate alpha signals, diagnose model and PnL behavior, and deepen our understanding of market microstructure.
This is a high-ownership role suited to someone who is genuinely excited about markets, has a strong research background, and is already building with modern AI tooling — including LLM-based agents. We are open to hiring at the fresh-PhD level, provided you can demonstrate research depth and a real interest in trading.
Responsibilities
Signal research and construction. Develop, test, and productionize predictive signals across asset classes using a combination of statistical methods, machine learning, and AI agent–driven research workflows. Take ideas from hypothesis through backtest, validation, and deployment.
Root cause analysis (RCA). Investigate model behavior, signal decay, PnL attribution, and unexpected trading outcomes. Build tools — including agentic ones — that accelerate diagnosis and shorten the loop between observation and fix.
Market microstructure research. Study order book dynamics, execution costs, liquidity, and venue behavior to inform both signal design and execution strategy.
AI agent infrastructure for research. Help design and extend internal agentic systems that automate parts of the research pipeline — data exploration, hypothesis generation, backtest configuration, results summarization, and report drafting.
Collaborate broadly. Work closely with traders, engineers, and other researchers to turn ideas into live, monitored strategies.
Requirements
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PhD (recently completed or near completion) in a quantitative field — e.g., Computer Science, Machine Learning, Statistics, Physics, Mathematics, Electrical Engineering, Operations Research, or a related discipline.
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Strong programming skills in Python; comfortable with the modern data and ML stack (NumPy, pandas, PyTorch or JAX, etc.).
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Hands-on experience building with AI agents and LLM-based systems — for example, tool-using agents, multi-step reasoning pipelines, retrieval systems, or evaluation frameworks. We want to see that you have actually built things, not just read papers.
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Solid grounding in statistics, probability, and machine learning, with the rigor to know when a result is real and when it isn't.
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Genuine interest in financial markets and trading, demonstrable through coursework, personal projects, competitions, internships, or self-directed study.
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Strong written and verbal communication; able to explain technical work clearly to a mixed audience.
Nice to Have
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Prior internship or research experience at a hedge fund, prop trading firm, market maker, bank, or fintech.
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Exposure to market microstructure, limit order books, or high-frequency data.
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Experience with backtesting frameworks, time-series analysis, or causal inference.
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Familiarity with low-latency systems, or large-scale data infrastructure.
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Publications, open-source contributions, or trading competition results.
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Responsibilities
1. Participate in UI/UX design for internal innovation projects, including user research, interaction design, visual design, logo design, and icon creation;
2. Work with senior designers to understand product goals and create user-friendly design solutions;
3. Collaborate closely with product managers and engineers to ensure smooth implementation of design concepts;
4. Participate in user research and continuously improve product experience through feedback and iteration;
5. Keep up with design trends and explore new AI-driven design workflows;
6. Use AI design tools such as Figma Make, CodeX, and Google Stitch to improve design efficiency.
Qualifications
1. Bachelor’s degree or above in Design, HCI, Digital Media, or related fields is preferred;
2. Basic understanding of UI/UX design principles and workflows;
3. Passion for automotive, technology, and AI-related products;
4. Proficient in Figma and other common design tools;
5. Good communication skills, teamwork spirit, and willingness to learn;
6. Familiarity with AI-assisted design tools is a plus.
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Risk Analyst (SQL), KYC Fraud Prevention & Compliance Rule Analysis
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We are seeking a detail-oriented and proactive Risk Analyst ( KYC Fraud Prevention & Compliance Rule Analysis) to join our Risk Management team. In this role, you will be responsible for using rules/ML models/AI to a) detect and prevent fraudulent activities related to onboarding processes and existing user accounts; and b) leverage risk team data insights to support co-prevention scope for compliance TS/TM direction. You will play a key role in protecting our platform’s integrity, ensuring compliance with KYC (Know Your Customer) regulations, and safeguarding our users’ assets.
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Binance Accelerator Programme - Campaigns Operations, Binance Square
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Responsibilities:
Assist in the full lifecycle of Square campaign operations, including drafting campaign documentation, managing backend configurations, coordinating on-site promotions (banners, push notifications, and pop-ups), overseeing campaign launches, tracking ongoing progress and post-campaign management.
Collect & extract frequently-appeared cases from user inquiries, work with Product and Tech teams to debug issues, verify fixes, and reduce the number of potential user cases.
Handle escalated user tickets from the Mod & Customer Service team, maintain FAQs and other user documents to ensure consistent communication and improve user experience.
Monitor real-time campaign data and deliver post-campaign reports with actionable insights for future optimization.
Plan, coordinate, and launch integrated growth initiatives and campaigns in partnership with cross-functional teams to accelerate scalable user and content growth.
Requirements:
Recent graduate, with a strong interest in crypto, blockchain, and digital communities.
Past experience in Web3, content or creator economy is a plus advantage.
Strong bilingual communication skills in English and Mandarin, with the ability to effectively engage vendors and internal stakeholders across regions.
Execution excellence with attention to details and a high level of patience and accountability.
Good communication and collaboration skills with ability to think critically and solve problems independently.
Resourceful, proactive, and eager to learn in a fast-paced, entrepreneurial environment.
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About the Role
We are seeking a highly skilled QA Automation Engineer with strong Java / Rust programming expertise to join our Margin team. In this role, you will be responsible for ensuring the quality, stability, and reliability of our margin trading products and risk systems, working closely with engineers, product managers, and operations teams throughout the full software development lifecycle. You will leverage Java / Rust to design, develop, and maintain scalable automated testing frameworks and tools for complex trading workflows, risk controls, and high-concurrency systems, helping deliver secure and high-performance products to millions of users globally.
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Binance Accelerator Program - Blockchain Security Researcher
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Job Responsibilities
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Assist in researching and analyzing emerging blockchain technologies, including consensus mechanisms, on-chain transaction models, and differences across various blockchain architectures (e.g., EVM vs non-EVM).
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Contribute to analyzing real-world Web3 security incidents under guidance, and help brainstorm proof-of-concept solutions.
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Monitor blockchain security news and report emerging risks, vulnerabilities, or novel attack vectors.
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Participate in internal discussions, team reviews, and threat modeling activities.
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Help document findings, write basic research summaries, and contribute to internal knowledge bases.
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Strong interest in blockchain, smart contracts, cybersecurity, or DeFi — enthusiasm and curiosity are key.
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Solid foundation in computer science or related technical background (students in CS, EE, math, etc. welcome).
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Familiarity with at least one programming language (e.g., Python, JavaScript, Solidity, or Rust is a plus).
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Basic understanding of blockchain concepts such as transactions, wallets, or smart contracts (coursework, personal projects, or self-study accepted).
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Strong problem-solving skills and willingness to dive into technical details.
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Fluency in English is required to be able to coordinate with overseas partners and stakeholders. Additional languages would be an advantage
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Bonus: personal Web3 projects, CTF participation, GitHub contributions, blog posts, or any self-initiated security research.
Requirements
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Responsibilities
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Participate in the development and maintenance of the company's basic products
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Responsible for the compilation and implementation of the interface documentation of the business module
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Demonstrate strong troubleshooting skills to solve problems provided by QA team
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Assist the CS team to solve customer problems and classify them for system improvement
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Computer-related major, Bachelor or Masters degree
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Have a solid Java foundation and understand basic frameworks, such as multithreading and networking
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Familiar with Spring Microservice framework and understanding of its operation mechanism
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Familiar with MySQL database and common middleware such as Redis, RabbitMQ and Kafka
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Good logical thinking ability, strong sense of teamwork and strong learning ability
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Fluency in English is required to be able to coordinate with overseas partners and stakeholders. Additional languages would be an advantage
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Experience with open source projects is preferred
Requirements
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Responsibilities
Responsible for managing the back-end operating systems.
Manage IAM tools and provide functional and business technology support including but not limited to chat faq handling, account management, permission authorization, access review and control, monitoring and alerting, data protection, risk identification and analysis.
Maintain strong working relationships with key stakeholders: business partners, product managers, developers as well as infrastructure and information security teams.
Continuously evaluate the effectiveness of the system functionality, suggesting improvements based on organizational needs.
Correlate events across multiple systems to proactively surface and resolve deep, underlying issues.
Provide all time standby support for emergency recoveries related to permission issues.
Drive access control related projects independently and deliver the positive result timely.
Work with product and develop teams on the UAT to ensure a successful release without major system or user impact
Able to deal with ad-hoc assignments from the management with less supervision.
Requirements
Diploma/ Degree in IT/ Computing related field.
Direct experience with Identity and Access management. Strong understanding of Identity and Access Management principles.
Proficient in creating and managing access control policies based on business requirements
Understanding of security protocols and best practices. Familiarity with relevant technologies and tools for access control.
Strong analytical, organizational, and problem-solving skills are required.
Excellent oral and written CN/EN communication skills are preferred to better communicate with key stakeholders.
Must be highly flexible and adaptable to change.
CISA and PMP are considered as a plus.
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Responsibilities
Management Reporting: Conduct month-end regional financial performance review, ensure accuracy of financial records, highlight /lowlight, escalate issues and opportunities to the leader team, prepare monthly/quarterly management reports for regional leadership
Add-hoc scenario analysis to support on decision making when entering new market through data anlysis
Responsible for pre-ROI and post ROI analysis for marketing activities, making proposal and improvement plan to marketing leaders when needed
Strategic business partnering: Build relationships and collaborate across regional leaders, country GMs, BU teams, BU FBPs to optimise business growth
Process Improvement: Streamline data handling, drive continuous process improvement, standardization, simplification and reporting enhancements
Requirements
5-8 years of relevant financial business partnering or analysis related experience is necessary, including experience in a professional services environment (e.g. management consulting, investment banking, Big 4 accounting) and/or in an FP&A or strategic finance role at a large technology / e-commerce / crypto company
Analytical problem solver with extensive experience building complex financial and/or operating models
Ability to craft executive-level presentations and develop succinct narratives outlining the key points of a deliverable and next step action items
Demonstrated abilities to ask the right questions and to use sound business judgment when collaborating with a wide-range of stakeholders
Proven proclivity for quickly identifying and methodically resolving potential road-blocks
Excellent verbal and written communication skills, and a willingness to proactively work with functions across the company, including board members
Previous crypto industry experience will be an advantage
Finance, Economics, Business related degree are preferred major fields (CIMA qualified will be a plus)
Past marketing FBP experience will be a plus
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Binance Accelerator Program - Product Manager (Analytics/Strategy Insights)
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What You'll Do:
- Data Analysis: Perform attribution analysis, user segmentation, and funnel diagnostics based on behavioral logs; deliver actionable strategy recommendations
- A/B Testing: Assist in experiment design, write SQL queries for data extraction, conduct significance testing, and produce A/B test reports
- Strategy Documentation: Contribute to PRDs for frequency capping, ranking, and content strategy
- Ranking Optimization: Collaborate with algorithm teams on parameter tuning and effect validation
- Label/Tag Development: Organize and refine content/label taxonomies to bridge signals to recommendation systems
What We're Looking For:
Must-Haves:
Proficient in SQL – able to independently extract and analyze data from data warehouses
Solid understanding of basic statistics (hypothesis testing, confidence intervals, A/B testing)
Familiar with Python (pandas) or similar data analysis tools
Knowledge of basic recommender system concepts (CTR/CVR, explore-exploit)
Structured thinking and clear writing skills
Nice-to-Haves:
Prior experience in recommendation systems, growth, or user operations projects
Hands-on experience with A/B testing
Basic understanding of Web3 / crypto concepts
Experience with machine learning projects
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Responsibilities
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Support the project manager in coordinating with cross-functional teams on requirements gathering, evaluation, analysis, and reporting across internal projects.
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Develop a strong understanding of business operations to respond quickly to business needs and efficiently manage information collection, organization, and other tasks during cross-functional collaboration.
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Conduct regular assessments of project outcomes using appropriate tools, systems, and evaluation techniques.
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Build and enhance reporting metrics to support data-driven decision-making and performance tracking.
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Create and maintain comprehensive project documentation.
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Develop, write, edit, and optimize content for both technical and non-technical audiences, ensuring clarity, structure, accuracy, and consistency across materials.
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Support content creation initiatives by conducting research, synthesizing information, and producing high-quality written materials for internal and external use.
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Track platform content engagement metrics (impressions, views, likes, comments, shares/reposts) and iterate based on feedback and data.
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Other duties as assigned.
Requirements
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Must be a full-time undergraduate or graduate student in good academic standing, preferably in Computer Science, Information Security, or a related field.
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Introductory knowledge of security concepts, including Cybersecurity and Information Security.
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Proven experience in content writing, editing, and information research, with the ability to produce clear and engaging materials.
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Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.
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Project or product management experience is highly desirable.
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Excellent client-facing and communication skills, with strong logical thinking, organizational ability, attention to detail, and multitasking skills.
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Binance Accelerator Program - Product Manager (Search/Trading Insights)
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Responsibilities
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Manage follow-up communications with all stakeholders to ensure proposed actions are effectively implemented.
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Monitor detailed reports and systematic tracking systems to monitor progress for better transparency and productivity.
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Evaluate product performance data by tracking key metrics. Collaborate with internal stakeholders to address any performance gaps and drive continuous improvement.
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Assist in the process of developing automation processes that increases efficiency and ensure compliance with security, privacy, and regulatory standards.
Requirements
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Currently pursuing a bachelor or master degree in a local university.
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A data-centric individual capable of analyzing large quantities of data and making informed decisions based on the insights derived.
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Demonstrates an understanding of and interest in the cryptocurrency sector.
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Strong proficiency in SQL preferred.
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Possesses strong communication skills, enabling effective engagement with internal stakeholders.
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Persistent with a keen attention to detail.
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Adaptable, open-minded, and comfortable to work in a fast-paced remote working environment.
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Embraces a hands-on approach to tasks and problem-solving.
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Responsibilities
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Work closely with other business intelligence and data teams to build datasets serving the purpose of treasury and risk management.
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Responsible for the architecture design and core module development of LLM-based AI Agent systems, including task planning, memory management, tool invocation, and workflow execution;
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Leverage key technologies such as LLMs, RAG, vector search, and function calling to build intelligent systems with contextual understanding and knowledge injection capabilities;
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Drive the application of AI Agents in vertical scenarios such as search, trading, deep analysis, and automated data engineering to unlock the full value of LLMs.
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Develop and maintain sophisticated risk management systems, dashboards and automated reports to help the team meet its management objectives and regulatory requirements.
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Analyze and interpret large (PB-scale) volumes of transactional, operational, customer and financial data using proprietary and open source data tools, platforms and analytical tool kits.
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Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives.
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Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments.
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Be part of a fast-paced industry and organisation where time to market is critical.
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Develop and maintain sophisticated risk management systems and dashboards to monitor limits, detect breaches, and support timely risk mitigation
Requirements
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Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
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3-5 years of full-time work experience in an Analytics or Data Science role
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A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
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A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communication
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Prior internal/client-facing consulting/business transformation experience preferred.
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A passion for Emerging Technologies related to Blockchain, Machine Learning and AI
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Competency in two or more of the following:
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An analytical software (e.g. R, SAS)
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A data visualisation tool (e.g. Qlikview, Tableau, PowerBI,)
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A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
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Programming (e.g. VBA, C++, Java, Python)
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Pioneer Talent Program - Product Operations, Derivatives
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Technical Support Engineer (Blockchain & Backend Development)
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Team Growth Opportunities
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About the Role
This internship is part of Tech Seeds 2026 — our program to identify and develop AI-native young talent. As an Applied AI Agent Engineer young talent, you will take on a hands-on builder role at the intersection of LLMs and production systems, working alongside full-time engineers on agent workflows, tool integrations, backend services, and AI system architecture from day one.
This is not a shadowing role. You will own deliverables, run experiments, and ship code that matters.
What You'll Do
Support the design and development of AI agent workflows and LLM-powered application components
Build and test prompt strategies, retrieval flows, tool-use logic, orchestration patterns, and backend integrations
Assist in defining evaluation metrics, running benchmarks, and analyzing failure cases
Improve system performance across quality, latency, reliability, safety, and cost
Use AI coding tools as a normal part of your workflow to accelerate development and problem-solving
Collaborate with engineers and cross-functional teams to understand how production AI systems are designed, deployed, and improved
Contribute to backend services, APIs, internal tools, or lightweight user interfaces when needed
What We're Looking For
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
Expected graduation in 2026 or 2027
Solid programming skills in Python or Java; familiarity with backend engineering is preferred
Good problem-solving ability and comfort working with APIs, debugging, and data
Strong curiosity about LLMs, AI agents, automation, and real-world system design
Ability to break down ambiguous problems and move from idea to working prototype
Comfortable learning quickly and working in a fast-moving environment
Available for a 6-month full-time commitment
Bonus Points
Personal projects or coursework involving LLM applications, agent systems, automation, or AI-assisted development
Familiarity with OpenAI APIs, Anthropic APIs, Hugging Face, LangChain, vector databases, or workflow tools
Experience with Git, databases, backend services, or cloud platforms
What Makes You a Fit for Tech Seeds 2026
You are curious, proactive, and builder-minded. You already experiment with AI tools on your own, learn quickly, and want to turn AI ideas into practical systems that work in the real world.
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About the Role
We are looking for an AI Agent Engineer to join our team as part of Tech Seeds 2026. This is an engineering-first role for someone who wants their work to have real-world impact — not just demos, but agent systems that ship. You will work alongside senior engineers to design and build AI agents, workflows, and internal AI systems that improve our products and operational efficiency. This role is especially suited for candidates who are curious, fast learners, and excited to build practical AI systems in production. Production agent design today is typically centered on clear tool integration, strong instructions, safe execution, and iterative rollout, rather than purely academic model work.
What You'll Do
Design and build AI agent workflows and LLM-powered systems for real business use cases
Develop and integrate tools for agents, including APIs, internal services, databases, knowledge sources, and operational systems
Improve agent quality, latency, reliability, safety, and cost through testing, evaluation, and iteration
Build prompt structures, orchestration logic, memory or retrieval patterns, and human handoff flows where needed
Collaborate with product, business, and operations teams to translate ambiguous business problems into practical AI solutions
Contribute to backend services, internal platforms, and lightweight interfaces to support end-to-end delivery
Help define reusable engineering patterns, guardrails, and evaluation approaches for production AI agents
What We're Looking For
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related field
0–3 years of software engineering, AI engineering, or relevant internship/project experience
Strong programming fundamentals in Java or Python, TypeScript, or backend development is a plus
Good software engineering judgment, including APIs, debugging, system design, and data handling
Strong curiosity about LLMs, AI agents, tool use, retrieval, evaluation, and production AI systems
Ability to learn new domains quickly and work effectively in ambiguous environments
Ability to read, understand, and improve AI-generated code, or learn to do so very quickly
Good communication skills and the ability to connect technical work to business value
Bonus Points
Personal projects, hackathons, or internships involving LLM apps, AI agents, RAG, automation, or internal tools
Familiarity with OpenAI APIs, Anthropic APIs, vector databases, agent frameworks, or orchestration tools
Experience with backend systems, cloud environments, observability, or production support
Exposure to fintech, crypto, customer support systems, operations workflows, or risk/compliance processes
What Makes You a Fit for Tech Seeds 2026
You are self-driven, AI-native, and practical. You learn fast, like solving real problems, and are excited to turn new ideas into working systems. You do not wait to be told every step: you explore, test, iterate, and improve.
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Responsibilities
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About the Role
You'll work directly with senior scientists on research problems at the frontier of LLM reasoning, post-training methodology, and agentic AI — applied to global crypto markets. Your work has a direct path to production systems serving hundreds of millions of users, and where findings warrant it, a clear path to external publication.
You run experiments, implement ideas from recent research, synthesize papers into hypotheses, and work with engineers to understand how research translates to real systems.
This is not a purely literature-review or passive research role. You are expected to think independently and generate insight.
Who may apply
Current university students and recent graduates
Responsibilities
Contribute to the design and execution of experiments in reasoning model training, post-training alignment, test-time scaling, or systematic model evaluation — with a focus on applications in financial and crypto-native contexts
Review and synthesize recent academic literature at NeurIPS, ICML, ICLR, and ACL — tracking developments in reasoning, alignment, and agentic AI to inform and sharpen ongoing research directions
Implement model variants, training procedures including RLVR-based approaches, and evaluation protocols using PyTorch and the Hugging Face ecosystem
Track and log experiments systematically using Weights & Biases or equivalent — maintaining reproducibility standards throughout
Explore the intersection of LLM reasoning and crypto-native data: on-chain signals, market microstructure, multi-modal market intelligence — identifying research opportunities unique to Binance's position
Collaborate with applied engineering teams to understand how research findings translate into production constraints in a zero-downtime, 24/7 trading environment
Qualifications
Currently pursuing a Master's or PhD in Machine Learning, Computer Science, Mathematics, or related field strongly preferred;
Expected graduation in 2026, 2027, or 2028
Strong Python programming skills and PyTorch proficiency; C++ or Rust exposure a plus. Equally important: demonstrated comfort with vibe coding — using AI-assisted development tools fluidly as part of your research and experimentation workflow
Solid understanding of transformer architectures, large language model pretraining, and the evolution toward reasoning models
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About the Role
For all students looking to gain hands-on experience! You'll work directly with senior scientists on research problems at the frontier of LLM reasoning, post-training methodology, and agentic AI — applied to global crypto markets. Your work has a direct path to production systems serving hundreds of millions of users, and where findings warrant it, a clear path to external publication.
You run experiments, implement ideas from recent research, synthesize papers into hypotheses, and work with engineers to understand how research translates to real systems.
This is not a purely literature-review or passive research role. You are expected to think independently and generate insight.
Responsibilities
Contribute to the design and execution of experiments in reasoning model training, post-training alignment, test-time scaling, or systematic model evaluation — with a focus on applications in financial and crypto-native contexts
Review and synthesize recent academic literature at NeurIPS, ICML, ICLR, and ACL — tracking developments in reasoning, alignment, and agentic AI to inform and sharpen ongoing research directions
Implement model variants, training procedures including RLVR-based approaches, and evaluation protocols using PyTorch and the Hugging Face ecosystem
Track and log experiments systematically using Weights & Biases or equivalent — maintaining reproducibility standards throughout
Explore the intersection of LLM reasoning and crypto-native data: on-chain signals, market microstructure, multi-modal market intelligence — identifying research opportunities unique to Binance's position
Collaborate with applied engineering teams to understand how research findings translate into production constraints in a zero-downtime, 24/7 trading environment
Qualifications
Currently pursuing a Master's or PhD in Machine Learning, Computer Science, Mathematics, or related field strongly preferred;
Expected graduation in 2026, 2027, or 2028
Strong Python programming skills and PyTorch proficiency; C++ or Rust exposure a plus. Equally important: demonstrated comfort with vibe coding — using AI-assisted development tools fluidly as part of your research and experimentation workflow
Solid understanding of transformer architectures, large language model pretraining, and the evolution toward reasoning models
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About the Role
We are seeking a Research Data Scientist who combines rigorous research thinking with a drive to see findings land in production. You will conduct original research in generative AI and LLMs applied to crypto-native problems — spanning reasoning under uncertainty, agent reliability in adversarial financial environments, and multi-modal market intelligence.
This is a research-first role at the intersection of three critical frontiers: post-training alignment and reasoning for financial agents, efficient inference and test-time scaling, and multi-agent coordination in open, adversarial environments. The goal is real-world impact — not just papers, but agents that trade, analyze, and act for millions of users.
You formulate research questions, design rigorous experiments, build evaluation frameworks, and collaborate with engineers to bring research into production.
Responsibilities
Conduct original research in generative AI and large language models applied to crypto and financial domains — with focus areas including reasoning under market uncertainty, alignment of trading agents, multi-agent coordination, and test-time scaling for time-critical decisions
Design and execute rigorous experiments — formulating clear hypotheses, implementing model and training variants including RLVR-based reasoning approaches, running systematic ablations, and drawing statistically sound conclusions
Develop novel post-training methodologies and evaluation frameworks for LLMs operating in crypto contexts — covering chain-of-thought quality for market analysis, agent decision consistency, and robustness against adversarial prompt injection
Research test-time scaling techniques — process reward models, self-consistency, Monte Carlo Tree Search-based planning — and apply them to improve agent reasoning quality in ambiguous, fast-moving market conditions
Critically track developments across the research community at NeurIPS, ICML, ICLR, ACL, and crypto-adjacent venues — identifying high-leverage opportunities to apply state-of-the-art techniques to Binance's unique challenges
Qualifications
Master's or PhD in Machine Learning, Computer Science, Mathematics, Statistics, or related field strongly preferred; exceptional Bachelor's candidates with demonstrable research output will be considered
0–5 years of research or industry experience in ML/AI; strong academic lab or research internship experience equally valued
Deep understanding of transformer architectures, large language model pretraining dynamics, and post-training methodology — including the shift from RLHF toward RLVR-based reasoning model training
Proficiency in Python and PyTorch, Critically, you work in an AI-native way — using vibe coding practices with tools like Claude Code, Cursor, or Copilot Workspace as your primary development workflow
Rigorous mathematical foundations: linear algebra, probability theory, information theory, stochastic processes, and numerical optimization
Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders
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About the Role
You'll work directly on the AI systems powering Binance AI Products and next-generation agentic trading features — alongside the full-time algorithm team, on real production challenges.
You own deliverables, run experiments, and ship code that matters. You build components of AI systems (agents, pipelines, evaluation tools), debug real systems, and work with engineers to ship features that reach users.
This is not a "watch and learn" program. You are expected to build, contribute, and ship.
Responsibilities
Contribute to the design and development of LLM-powered pipelines for agentic trading — including reasoning agent components, tool-use frameworks via MCP, and automated workflow execution across crypto markets.
Build and evaluate prompt engineering strategies, test-time scaling approaches, and retrieval architectures for crypto-native data sources — on-chain data, market feeds, news, and sentiment signals.
Design and run model evaluation experiments — defining quality metrics for agent reasoning in financial contexts, executing benchmarks, and synthesizing results into actionable findings.
Analyze agent performance characteristics in live trading scenarios — covering decision accuracy, latency, reliability, and adversarial robustness.
Apply AI-native development practices using agentic coding tools as a standard part of the engineering workflow — writing and executing Python code for strategy logic, data pipelines, and agent evaluation.
Requirements
Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field.
Expected graduation in 2026 or 2027.
Strong Python programming skills with demonstrated AI-native development practices — you use agentic coding tools (Claude Code, Cursor, GitHub Copilot Workspace) as a core part of your workflow.
Foundational understanding of how large language models work — attention mechanisms, prompting, and the difference between standard generation and reasoning models.
Structured problem-solving approach and ability to operate independently on defined tasks.
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About the Role
Want to work on AI that engineers use every day? As part of the Binance Accelerator Program, you'll help build internal tools that make developers faster and less blocked. Real work, real ownership, real impact.
What You Will Do
What We're Looking For
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About the Role
Engineering teams lose hours every week to repetitive tasks, context-switching, and hunting for the right information. We're fixing that — by building an internal AI platform that makes every developer sharper, faster, and less blocked. You'll be on the small team making this happen. That means real ownership, fast feedback loops, and the satisfaction of seeing your work used by engineers every single day. If you're someone who loves building things that actually get used — this is for you.
What You Will Do
What We're Looking For
Bonus Points
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Pioneer Talent Program - AI-powered Productivity Platform Engineer
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About the Role
As AI capabilities rapidly evolve, we are building a unified AI-powered productivity platform to transform how engineering work gets done across the organization.
In this role, you will design and deliver AI tools, systems, and workflows that augment developers, streamline processes, and significantly boost engineering efficiency and quality. You will work at the intersection of AI and software engineering, turning cutting-edge AI capabilities into practical, high-impact internal solutions.
Responsibilities
Requirements
Nice to have
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Responsibilities
Own the product strategy and roadmap for Staking products — covering native, liquid, and pooled staking — with a focus on protocol integrations, user growth, and revenue contribution
Define and manage token strategy, APR pricing models, and project partnership initiatives to strengthen product competitiveness and expand the supported asset universe
Drive growth through data: own core metrics including TVL, APR, utilization, revenue, and user retention — and translate insights into prioritized product improvements
Manage DeFi partnership opportunities for Onchain Earn, coordinating integration across CeFi and on-chain infrastructure
Lead cross-functional execution with Marketing, BD, Risk, and Legal to drive product adoption and go-to-market strategies
Requirements
2+ years of product operations and growth experience in CEX / DeFi / yield products.
Deep understanding of staking mechanics: validator economics, liquid staking tokens (LST), APR composition, and on-chain yield infrastructure.
Exceptional cross-functional coordination, project management, communication, relationship management, and organizational skills.
Strong user insight and innovative thinking, capable of translating user needs into product features
Fluent in Mandarin; working-level English for cross-team and partner communication
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Responsibilities
Leverage AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) to accelerate development cycles and improve code quality
Requirements
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Binance Accelerator Program - Data Scientist (LLM & Trading)
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Responsibilities:
Leveraging knowledge of large-scale models and intelligent agents, participate in the design and development of a series of AI-powered financial trading agency skills based on Web3 data, and integrate them into practical systems.
Perform post-training of large-scale language models (SFT, RL, etc.) to enhance the model's ability to utilize Binance's internal trading skills.
Assist in building and maintaining benchmark datasets to evaluate the performance of AI systems, and assist in building and iterating workflow prototypes for financial AI agent systems.
Work closely with senior engineers to complete system design, integration, and deployment.
Requirements:
Currently pursuing or holding a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Artificial Intelligence, Financial Engineering, Automation, or a related field.
Hands-on experience with post-training techniques such as Supervised Fine-Tuning (SFT) and Reinforcement Learning (RLHF / RLAIF) . Familiar with common fine-tuning and reinforcement learning frameworks, such as Llama Factory, Slime, Verl, and OpenRLHF.
Familiarity with at least one mainstream deep learning framework (PyTorch, TensorFlow) and common LLM training/evaluation toolkits (Hugging Face Transformers, DeepSpeed, vLLM, etc.).
Excellent communication skills and a strong willingness to learn quickly.
Able to commit at least 6 months, working 5 days a week.
Why choose Binance?
• Shape the future with the world's leading blockchain ecosystem
• Work alongside world-class talent in a user-centric, flat, global organization
• Independently complete unique and fast-paced projects in an innovative environment
• Thrive in a results-oriented work environment with opportunities for career development and continuous learning
• Competitive compensation and benefits、
• Work-from-home available (specific arrangements may vary depending on the nature of the business team)
Good communication skills and willingness to learn quickly.
Ability to commit at least for a 6 months tenure, 5 days per week.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Binance Accelerator Program - Data Scientist (LLM & Trading)
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Responsibilities:
Requirements:
Why choose Binance?
• Shape the future with the world's leading blockchain ecosystem、
• Work alongside world-class talent in a user-centric, flat, global organization
• Independently complete unique and fast-paced projects in an innovative environment
• Thrive in a results-oriented work environment with opportunities for career development and continuous learning
• Competitive compensation and benefits
• Work-from-home available (specific arrangements may vary depending on the nature of the business team)
Good communication skills and willingness to learn quickly.
Ability to commit at least for a 6 months tenure, 5 days per week.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Apply to Binance
Responsibilities:
Requirements:
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Responsibilities
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Analyze complex Web3 security cases and extract recurring attack patterns to build and maintain comprehensive SOPs.
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Proactively identify gaps in current operation workflows and propose systematic improvements to enhance the team's overall efficiency.
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Partner with AI agents to crystallize security insights into a high-quality knowledge base, improve team’s collective intelligence and operational speed.
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Stay ahead of emerging fraud techniques and evolving Web3 product logic, translating these trends into actionable defense strategies for the team.
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Work closely with engineering and strategy teams to transform manual analysis into automated detection rules.
Requirements
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Minimum 5 years of experience in anti-fraud, risk control, or blockchain-related fields; proven ability to handle complex problems through a structured and systematic approach.
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Excellent at deconstructing complicated scams or technical exploits into clear, logical steps. Deep coding skills are not required, but you must have a sharp mind for technical logic and user-flow sequences.
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A fast learner with a strong interest in AI. You should understand how to use and prime AI tools to scale your own output and improve the team's data quality.
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Capable of writing clear, professional documentation and communicating effectively in a global team environment.
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Familiarity with DeFi, Wallet products, and the general Web3 ecosystem's unique security challenges.
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Binance Accelerator Program - Software Engineering (Web3 & Big Data)
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About the Role
We are building next-generation Web3 infrastructure and are looking for a motivated engineering early career talent to grow alongside us. You will work directly with our core team on real-world challenges — from optimizing real-time big data pipelines to integrating AI-assisted tooling into our development workflow. This is a hands-on role with meaningful ownership from day one.
What You Will Do
Learn and work with real-time big data components such as Kafka, Flink, or Spark Streaming; identify bottlenecks and contribute to performance optimizations.
Participate in Web3 project development — including on-chain data ingestion, smart contract interaction, and blockchain analytics features.
Apply AI tools and LLM-assisted workflows (e.g., code generation, automated testing, documentation) to accelerate development velocity.
Collaborate in English with cross-functional teammates on engineering discussions, code reviews, and technical documentation.
Proactively explore unfamiliar technologies, ask good questions, and share learnings with the team.
What We Are Looking For
Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or a related technical field.
Strong genuine interest in software development — you build things in your spare time, follow technical communities, or experiment with side projects.
Fluent spoken and written English — comfortable participating in technical meetings, writing documentation, and communicating blockers clearly.
Self-driven and proactive — you do not wait to be told what to learn; you identify gaps, seek resources, and take initiative without prompting.
Available to commit a minimum of 4 days per week throughout the internship period.
Nice to Have
Familiarity with blockchain concepts — transactions, wallets, smart contracts, or DeFi protocols.
Exposure to distributed systems, stream processing, or database design.
Prior experience using AI coding assistants (Copilot, Cursor, Claude Code, etc.) in a real project context.
What You Will Gain
Hands-on experience with production Web3 systems, mentorship from a senior engineering team, direct exposure to real-time data architecture, and a front-row seat to how AI is reshaping how software gets built.
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Responsibilities
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Participate in the design, development, and maintenance of AI-related components, including model serving, inference modules, and associated toolchain development.
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Participate in LLM evaluation work, including effectiveness assessment, benchmark construction, and experimental analysis, as well as assist in model performance optimization.
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Contribute to system performance, stability, and reliability improvements, driving engineering optimizations such as inference efficiency and resource utilization.
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Participate in the design and implementation of AI solutions for business scenarios, including but not limited to Agent, RAG, and AIGC applications.
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Collaborate with product, algorithm, and engineering teams to drive the adoption and iteration of AI capabilities in real-world business contexts.
Requirements
1. Basic Requirements
Currently pursuing a Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
Available to intern at least 3 days per week; internship duration of 6 months or more is preferred.
2. Technical Skills (Core Requirements)
Solid programming fundamentals with proficiency in Python (required) and good coding practices.
Basic understanding of backend development (API design, service development, etc.).
Familiarity with at least one deep learning framework (PyTorch / TensorFlow).
Basic understanding of large language models (LLMs), such as Transformer architecture, fine-tuning, and inference pipelines.
3. Bonus Skills (Strongly Preferred)
Experience or knowledge in Prompt Engineering / RAG / Agent.
Experience with model evaluation (benchmarks, automated assessment).
Familiarity with frameworks such as LangChain / LlamaIndex / Dify / Coze is a plus.
Prior project experience in AIGC, dialogue systems, or intelligent agents is a plus.
Familiarity with Linux environments and basic debugging skills.
Knowledge of Docker / Kubernetes / distributed systems is a plus.
Some understanding of system performance optimization (latency, throughput, resource utilization).
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Binance Accelerator Program - TechOps Engineer (Observability & AI Ops)
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Role Positioning
Build observability, automation, and AIOps foundations. Focus on deliverable output, reusable assets, and support-driven product improvement.
Learning Outcomes
- Use logs/metrics/traces to understand issues; complete a dashboard + alert + runbook for one service.
- Turn support pain points into product improvements (copy, self-service, workflow).
- Understand MLOps/AIOps basics: deployment, rollback, drift monitoring.
- Build or extend an agent skill for automation or support.
Responsibilities
Requirements
Must-have
Nice-to-have
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We're looking for a Senior Card Product Manager to own the end-to-end development and launch of crypto card products across multiple new markets (0→1), while driving growth of card products in existing markets. You'll lead partner integrations, navigate country-specific and global regulatory landscapes, and ship world-class card experiences - all within a fast-moving, globally distributed remote team.
This role demands a self-starter who thrives with autonomy, proactively identifies and solves problems, and is comfortable collaborating with colleagues across different time zones.
Responsibilities:
- Define and own the card product roadmap across multiple markets with key milestones, dependencies, and success metrics aligned to business objectives.
- Conduct market research and competitive analysis to understand market landscapes and benchmark against competitors including fintechs; ensure product's competitive edge and identify improvement opportunities.
- Lead the full product lifecycle - from discovery through development, launch, and continuous monitoring and iteration - ensuring product and business OKRs are met.
- Collaborate cross-functionally with Engineering, QA, BD, Finance, Risk, Compliance, Legal, Growth, and Marketing to deliver on time in a fast-paced environment; align stakeholders on priorities, MVP scope, and phased rollout plans.
- Coordinate partner integrations across markets with BD and technical teams; review and interpret partner API documentation to assess feasibility and bridge business-engineering communication.
- Deliver detailed PRD requirements and interactive designs with considerations of edge-case coverage, technical feasibility and implementation plans.
- Create wireframes, user flows, and sequence diagrams to communicate product intent effectively.
- Design end-to-end card journeys - issuance, activation, authorization, top-up, rewards, campaigns, disputes - tailored to each market.
- Coordinate across time zones with clear communication, well-documented decisions, and thorough follow-through.
- Optimise product performance dashboard and KPIs tracking, perform in-depth data analysis to identify trends, diagnose issues, and drive improvements using data and AI.
Requirements:
- 5+ years of card product management experience in card issuing; hands-on involvement launching card programs in multiple markets appreciated. 0→1 experience strongly preferred.
- Self-driven, proactive, and high-agency - identifies problems, proposes solutions, and drives them forward independently; with the aspiration to create and manage a best-in-class crypto card product.
- Thrives in a fast-paced, remote-first environment across multiple time zones; strong async communication and documentation skills.
- Excellent stakeholder management - able to influence without authority and align diverse teams.
- Proven ability to manage a card portfolio toward positive P&L and strong penetration among active users.
- Understanding of different card processes: authorization, clearing, settlement, reconciliation, chargebacks, BIN management, tokenization, and card lifecycle.
- Good understanding of risk and card compliance frameworks, card scheme rules, and regulatory nuances across jurisdictions.
- Strong product design skills - wireframes, sequence diagrams, PRDs, and well-structured user stories.
- Able to read and interpret API documentation to evaluate integrations and communicate requirements to engineering.
- Comfortable with BI tools; SQL proficiency is a strong plus.
- Experience with virtual cards, Apple Pay / Google Pay tokenization, or card-as-a-service platforms.
- Familiarity with multi-currency wallets and cross-border payment flows.
- Familiarity with crypto/fintech ecosystems (on/off-ramp, stablecoin settlement, crypto-to-fiat).
- Prior experience at a crypto exchange, neobank, or embedded finance company.
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Responsibilities
Requirements
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Responsibilities
Requirements
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Responsibilities
Requirements
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