Senior Machine Learning Engineer

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 ro

le
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 impa

ct.
Responsibili

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

omes.
Qualific

• ations
  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 devel
• opment.Experience with machine learning lifecycle management and LLM deployment str
• ategiesExperience with SaaS platforms and cloud services (AWS, Google Cloud,
• Azure).Familiarity with cloud services (AWS, Azure, GCP) and managing ML applications in cloud envir
• onmentsExcellent problem-solving, analytical, and communication

skills.
Preferred Qualif

• ications
  Experience with Large Language Models and Retrieval-Augmented Generati
• on (RAG).Knowledge of LLM training and A
• I agents.Experience with model-serving technologies and
• servicesExperience with automation and orchestration tools, with a focus on enhancing the efficiency of ML
• workflowsPrior work in deploying AI/ML models in a scalable, SaaS env
• ironment.Strong understanding of software development practices and experience with DevO

ps tools

• .
  BenefitsHealth Insurance
• (Allianz)Stay Healthy subsidy (for gym a
• nd sports)Unl
• imited PTOPaid Paternity and Mater