We are building a next-generation AI-powered Application Security platform. Our vision is to enable fast moving product and engineering teams in automating triage and prioritization of alerts, vulnerabilities and bugs/ security issues. This platform not only reduces significant toil and loss of productivity due to time spent on triage, repetitive prioritization and manual patch development but also boosts collaboration, innovation and revenue generating efforts.
We're looking for a
Machine Learning Engineer
with a strong background in applying AI for application security (code scanning, vulnerability findings, cloud misconfigurations) use cases and model training to achieve more than 80% accuracy. This person will think about problems from first principles perspective and understand customer journey to build AgenticAI solutions that easily integrate into existing DevSecOps workflows.
Responsibilities
•Lead the research, design, development, and deployment of advanced AI agents and agentic systems.
•Architect and implement complex multi-agent systems, including planning, decision-making, and execution capabilities.
•Develop and integrate large language models (LLMs) and other state-of-the-art AI techniques to enhance agent autonomy and intelligence.
•Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale.
•Stay up-to-date with the latest advancements in AI research and agentic AI and apply them to our products.
•Contribute to the development of Copilot GenAI Workflows for Users, enabling chat-like command execution.
Qualifications
•Expertise in machine learning, large language models (LLM) and natural language processing (NLP).
•Strong understanding of agent-based modeling, reinforcement learning, and autonomous systems.
•Experience with large language models (LLMs), Generative models and their applications in agentic AI.
•Proficiency in programming languages such as Python, and experience with leading machine learning and agent development frameworks.
•Min 3+ years of relevant AI and ML work experience.
•Experience including research work in agentic AI or related fields.
•Publications in top-tier AI conferences or journals is preferred
•Experience building and deploying AI agents in real-world applications.
•Strong communication and collaboration skills.
•Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience.