About us

Radiant Security is the maker of the industry’s first AI SOC Analyst, which uses Gen AI to emulate the experience, processes, and decision-making of top-tier security analysts. With Radiant, alerts are sent to our AI analyst before they go to the SOC. Each alert is subjected to dozens to hundreds of dynamically selected tests used to determine maliciousness. Within 3 minutes decision-ready results are available that include a detailed incident summary, root cause analysis, and an incident specific response plan. This means, by the time an analyst sees an incident they know if it was real, what happened, what caused it, and have a plan to fix it. After reviewing the report, analysts can respond manually using AI generated, step-by-step instructions on how to respond to this incident, using single-click responses which run over API connections to take corrective actions, or with fully automated response that runs without human intervention. With Radiant, SOC teams detect more attacks, respond more rapidly, and get more done.

About the role

As a Machine Learning Engineer at Radiant Security, you'll be instrumental in designing, developing, and deploying sophisticated AI systems. You will work closely with a cross-functional team to build scalable, efficient, and agile ML solutions that leverage the latest in LLMs, RAG, and more. This is a fantastic opportunity to contribute to groundbreaking AI projects and see your work make a tangible impact.

Responsibilities

• Design and build scalable machine learning solutions for SaaS applications, focusing on accuracy, efficiency, reliability, and speed.
• Collaborate with the data scientists to refine algorithms and improve model performance based on real-world data and feedback.
• Participate in the entire project lifecycle from research and development to deployment and maintenance of ML models.
• Work on model serving, ensuring models are efficiently deployed and integrated into production environments.
• Manage databases and ensure the integrity and security of data used in training and running ML models.
• Keep abreast of the latest ML technologies and methodologies and propose innovative solutions to enhance project outcomes.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in machine learning, data science, or AI development.
• Experience with machine learning lifecycle management and LLM deployment strategies
• Experience with SaaS platforms and cloud services (AWS, Google Cloud, Azure).
• Familiarity with cloud services (AWS, Azure, GCP) and managing ML applications in cloud environments
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

• Experience with Large Language Models and Retrieval-Augmented Generation (RAG).
• Knowledge of LLM training and AI agents.
• Experience with model-serving technologies and services
• Experience with automation and orchestration tools, with a focus on enhancing the efficiency of ML workflows
• Prior work in deploying AI/ML models in a scalable, SaaS environment.
• Strong understanding of software development practices and experience with DevOps tools.

Benefits

• Health Insurance (Allianz)
• Stay Healthy subsidy (for gym and sports)
• Unlimited PTO 
• Paid Paternity and Maternity Leave