Blockchain Security Expert Intern - AI Track

Company shown to members 🔒 · Remote · US only

US onlySeniorPublished 13 March 2025Ghost risk: high

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First recorded by Psst: 9 November 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
Senior
Where you can live
US only
Languages
English
Skills and tools
python, machine learning, compliance
Degree or licence
Mentioned (phd)
Job type
Internship

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
United States
Employment type
Internship
Advertised pay
Not stated by the employer
Experience
Senior
Employer publication date
13 March 2025
First recorded by Psst
9 November 2026
Last checked at the source
10 November 2026

About the job

About the Company

Founded in 2018 by professors of Yale University and Columbia University, the company is a pioneer in blockchain security, utilizing best-in-class AI technology to secure and monitor blockchain protocols and smart contracts. The company’s mission is to secure the cyber world. Starting with blockchain, the company applies cutting-edge innovations from academia into enterprise, enabling mission-critical applications to be built with security and correctness. The company is one of the fastest growing and most trusted companies in blockchain security and has become a true market leader. Our clients include leading projects such as Aave, Polygon, Binance Smart Chain, Yearn, and Chiliz. Our investors include top VCs like Tiger Global, Coatue Management, Shunwei Capital and Hillhouse Capital as well as industry leaders like Coinbase Ventures and Binance.

About the Position

The primary focus of this role is to pioneer the development of an intelligent AI agent powered by large language models (LLMs) to enhance our security audit tools in the blockchain space. As a Blockchain Security Expert intern, you will work closely with our blockchain security team to bridge cutting-edge academic research with practical applications. Your efforts will be dedicated to designing, fine-tuning, and integrating LLM-driven AI agents that automatically analyze smart contracts and identify potential vulnerabilities. In this role, you'll be immersed in research and experimentation, exploring new methods to improve threat detection and risk assessment within our security audit platform, thereby directly contributing to more secure blockchain infrastructures.

Responsibilities

  • Collaborate with our blockchain security team to design and implement a large language model (LLM)-based AI agent for security audit tools.
  • Experiment with novel AI techniques to enhance threat detection and risk assessment in blockchain environments.
  • Assist in transforming cutting-edge research on AI agents into practical, scalable security auditing solutions.
  • Continuously research emerging trends in LLMs, AI agent architectures, and cybersecurity, and proactively propose improvements.

Requirements

  • Currently pursuing or recently completed a PhD in Artificial Intelligence, Computer Science, or a related field, with a strong emphasis on machine learning, natural language processing, and/or cybersecurity.
  • Deep understanding of LLM architectures (e.g., transformers) and hands-on experience in training or fine-tuning such models.
  • Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow).
  • Basic familiarity with blockchain technology and smart contract development is a plus.
  • Excellent analytical skills, problem-solving capabilities, and the ability to thrive in a fast-paced, innovative startup environment.
  • Strong written and verbal communication skills in English.

Bonus Points

  • Prior research or project experience in developing AI agents or automated security analysis tools.
  • Exposure to security audit methodologies and vulnerability assessment, particularly in blockchain or smart contract environments.
  • Familiarity with blockchain programming languages (e.g., Solidity) and platforms (e.g., Ethereum).
  • Publications or contributions to leading conferences/journals in AI, NLP, or cybersecurity.
  • Demonstrated ability to translate research insights into effective, production-ready tools.

Target monthly salary for this role performed is $6,000 - $8,000 if based in the US. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.

The company accepts applications for this position on an ongoing basis.

The company is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. The company also offers a variable commission program for business development sales roles.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

The company is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.

The company will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.

[link for members]

All the company employees are expected to actively support diversity on their teams, and in the Company.

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Ghost Job Detector: Ghost risk: high
  • Open over a year (607 days)
  • No pay listed
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