Research Scientist - Post-training, Inference, & Safety and Security

About Virtue AI Virtue AI sets the standard for advanced AI security platforms. Built on decades of foundational and award-winning research in AI security, its AI-native architecture unifies automated red-teaming, real-time multimodal guardrails, and systematic governance for enterprise apps and agents. Deploy in minutes—across any environment—to keep your AI protected and compliant. We are a well-funded, early-stage startup founded by industry veterans, and we're looking for passionate builders to join our core team. What You’ll Do As a Research Scientist, 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 designing new red-teaming methods and optimizing the overall testing platform Develop and train our core guardrail models for agents and different input modalities Conduct a comprehensive model evaluation and analyze the evaluation results Optimize the model training pipelines and infrastructure Apply efficiency inference methods to reduce model latency Lead research projects, collaborate across the entire team, and contribute to the full technical stack 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: Degree (BS required, MS or PhD preferred) in Machine Learning, Security, or a related field Proficiency in programming languages such as Python, along with expertise in LLM libraries like PyTorch, HuggingFace, etc Experience in LLM finetuning for different modalities using packages like LlamaFactory, verl, Slime, etc Experience in optimizing LLM inference with Sglang or vLLM, etc Experience in building LLM-based agents for various applications using ADKs like Google, OpenAI, and LangChain Experience in conducting large-scale red-teaming for LLMs and agents Strong problem-solving skills and effective communication abilities Preferred qualifications: Hands-on experience with Docker and Kubernetes for containerization and deployment Hands-on experience in back-end engineering (Go, C/C++) and front-end development (Typescript, React) Enthusiasm for thriving in a fast-paced startup environment Why Join Virtue AI Competitive base salary compensation + equity 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. #J-18808-Ljbffr