• ️ About Merkle Science

Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.

Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.

Team: Product Engineering (Frontend)

Duration: 1 year

Work Mode: Hybrid (3 days/week in office, 2 days work-from-home)

Post-internship: High performers may be offered a full-time role, subject to a 2-year service lock-in period

About the Role

You'll build user-facing features for our web applications — dashboards, investigation workflows, and compliance tooling used by analysts and investigators daily.

Responsibilities

• Build responsive, performant UI components using ReactJS
• Translate designs (Figma or similar) into clean, reusable components
• Integrate frontend applications with backend REST APIs
• Manage application state and optimize rendering performance
• Write clean, maintainable, and tested frontend code

Required Skills

• Strong fundamentals in JavaScript (ES6+), HTML, CSS
• Working knowledge of React — hooks, component lifecycle, state management
• Understanding of how to consume REST APIs and handle async data
• Basic understanding of responsive design and cross-browser compatibility
• Familiarity with Git and collaborative development workflows
• Strong problem-solving fundamentals

Good to Have

• Experience with TypeScript
• Familiarity with state management libraries (Redux, Zustand, React Query)
• Familiarity with charting/visualization libraries (D3, Recharts, etc.) — relevant for building analytics dashboards
• A portfolio, GitHub profile, or personal projects showcasing UI work
• Exposure to relevant AI tools (e.g., GitHub Copilot, Claude, Cursor, v0, or similar AI-assisted coding/design tools)

Eligibility

• Final year (graduating 2027) B.Tech/B.E./Dual Degree students
• From IIT / NIT / IIIT only
• CSE, IT, or closely related computer science branches only
• Strong academic record and demonstrated coding/UI ability
• Preference given to candidates with open-source contributions, external/personal projects beyond academic coursework, and prior internship experience

Common Selection Process (suggested)

• 1. Resume shortlisting (as per eligibility criteria above)
• 2. Online coding assessment (DSA + role-specific fundamentals)
• 3. Technical interview(s) with the engineering team
• 4. HR discussion / offer

How to Apply

Interested students can send their updated resume to [email protected] with the subject line: "Application for [Role Name] Internship – [College Name]"

❤️ Well Being, Compensation and Benefits

We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.

We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.