Member of Technical Staff - Research Scientist Intern

Location: San Francisco, CA (Onsite | Hybrid)

Team: Research

About Virtue AI

Virtue AI is at the forefront of AI security & compliance. Our mission is to build the essential AI security platform with advanced and comprehensive guardrails and red-teaming tools that enable organizations to deploy different AI applications confidently and responsibly in different sectors, such as finance, healthcare, telecom, retail, and government. Just as Palo Alto Networks redefined network security, our mission is to define and lead the new category of AI Security. We are a well-funded, early-stage startup founded by industry veterans, and we're looking for passionate builders to join our core team.

Are you a high-performing, motivated machine learning engineer ready to make a significant impact in the AI security space? We are looking for talented engineers to develop cutting-edge products on agent and LLM securities.

What You’ll Do

As a Research Scientist Intern, you will play a key role in developing production-ready and cutting-edge agent and ML security techniques. Your work will directly contribute to advancing our products and services and driving innovation within the industry.

You will:

Develop our core techniques for agent and model red-teaming, including discovering novel testing paths, designing novel testing techniques, and developing automatic testing platforms

Develop and train our core guardrail models for different input modalities and defense targets and goals

Apply efficiency inference methods to reduce model latency

Work with the research engineers to integrate our developed techniques into products

What Makes You a Great Fit

You’ll thrive in this role if you’re excited by new technology, love solving customer problems, and can comfortably bridge the business and technical worlds.

Required qualifications:

Proficiency in programming languages such as Python, along with expertise in LLM libraries like PyTorch, DeepSpeed, OpenRLHF, vLLM, verl, etc

Experience in LLM finetuning for different modalities

Experience in building LLM-based agents for various applications

Experience in conducting large-scale red-teaming for LLMs and agents

Preferred qualifications:

Hands-on experience with Docker for containerization and deployment

Hands-on experience in back-end engineering (Go, C/C++) and front-end development (Node.js, Typescript)

Enthusiasm for thriving in a fast-paced startup environment

Strong problem-solving skills and effective communication abilities

Why Join Virtue AI

Competitive compensation commensurate with skills and experience.

Impact at scale – Help define the category of AI security and partner with Fortune 500 enterprises on their most strategic AI initiatives.

Work on the frontier – Engage with bleeding-edge AI/ML and deploy AI security solutions for use cases that don't yet exist anywhere else yet.

Collaborative culture – Join a team of builders, problem-solvers, and innovators who are mission-driven and collaborative.

Opportunity for growth – Shape not only our customer engagements, but also the processes and culture of an early lean team with plans for scale.

Equal Opportunity Employment

Virtue AI is an Equal Opportunity Employer. We welcome and celebrate diversity and are committed to creating an inclusive workplace for all employees. Employment decisions are made without regard to race, color, religion, sex, gender identity or expression, sexual orientation, marital status, national origin, ancestry, age, disability, medical condition, veteran status, or any other status protected by law.

We also provide reasonable accommodations for applicants and employees with disabilities or sincerely held religious beliefs, consistent with legal requirements.