Senior AI Researcher

As a Senior AI Researcher at Radiant Security, you will be responsible for leading the research and optimization of AI-driven solutions specifically focused on triage, investigation, and response within security operations. Your role will include tackling complex issues and developing advanced agentic flows that help automate security alert responses. You will also perform proof of concepts using cutting-edge technologies while enhancing retrieval-augmented generation services to boost the overall quality and consistency of our security product.

To qualify for the Senior AI Researcher role at Radiant Security, candidates should possess extensive experience in AI applications, particularly with large language models (LLMs), agents, and retrieval-augmented generation (RAG). A track record of successfully leading research projects from the proof of concept to production stages is essential. Strong communication and teamwork skills are also imperative, along with a proactive attitude to tackle challenges.

Senior AI Researchers at Radiant Security engage with various cutting-edge technologies, including large language models (LLMs), machine learning algorithms, and advanced natural language processing (NLP) techniques. You will also work on retrieval-augmented generation (RAG) services and develop agentic solutions that integrate seamlessly with big data to automate security use cases across diverse customer environments.

At Radiant Security, Senior AI Researchers can expect to lead projects that focus on building innovative AI solutions to improve the efficiency and accuracy of security operations. This involves designing agentic systems that automate processes, running proofs of concept to evaluate the latest technology, and enhancing models to ensure they are both cost-effective and reliable in real-world applications. You will have the opportunity to explore various security use cases, making a significant impact on our product’s evolution.

The working environment for Senior AI Researchers at Radiant Security is collaborative and dynamic, where innovation is encouraged. You will be part of a small yet enthusiastic team that values deep expertise and diverse backgrounds in cybersecurity and AI. Given that we are a startup, the pace is fast, allowing you to make critical contributions quickly. Additionally, you will enjoy a supportive culture with generous benefits, including unlimited PTO and competitive salaries.

When answering this question, highlight specific projects or instances where you've utilized NLP techniques. Detail your contributions, the challenges you faced, and how you approached solving them. Discuss the outcomes or results achieved and how they align with your role as a Senior AI Researcher.

Provide a step-by-step overview of your project management methodology, emphasizing your strategic planning, execution, and evaluation phases. Outline how you keep your team aligned and how you've overcome obstacles to bring projects to fruition, showcasing leadership and teamwork skills.

Discuss your expertise in tuning hyperparameters, using different architectures, or implementing techniques like transfer learning. Talk about any tools you use for performance evaluation, and provide examples of how optimization has significantly improved your projects.

Choose a specific instance that showcases your analytical thinking and problem-solving abilities. Describe the problem, the steps you took to address it, the collaborative efforts involved, and the impact your solution had on the project or company.

Explain your understanding and hands-on experience with RAG frameworks. Provide insights into any projects where you've implemented RAG and the effects it had on data retrieval and processing capabilities within AI systems.

Discuss your approach to model validation, testing protocols, and the importance of explainability. Highlight any frameworks or practices you've used to maintain transparency in the decision-making processes of your AI algorithms.

Articulate how you stay abreast of industry developments through continuous learning. Mention sources of information such as academic journals, online courses, or industry conferences, and how you incorporate new knowledge into your work.

Illustrate a scenario where you've worked alongside different departments (e.g., cybersecurity, engineering) to merge diverse skill sets and knowledge. Explain the project's nature, your role, and how collaboration was key to achieving the goals.

Share your passion for AI and cybersecurity, perhaps drawing upon pivotal moments or experiences that fueled your interest. Discuss your long-term vision in this field, conveying enthusiasm and commitment to the potential of AI in transforming cybersecurity.

Emphasize the importance of a growth mindset, illustrating how setbacks can provide invaluable learning experiences. Talk about how you would analyze the reasons for failure, iterate on your approaches, and ensure progress toward successful outcomes.